id	sid	tid	token	lemma	pos
ijassa-660	1	1	adv	adv	PROPN
ijassa-660	1	2	syst	syst	PROPN
ijassa-660	1	3	sci	sci	PROPN
ijassa-660	1	4	appl	appl	PROPN
ijassa-660	1	5	2018	2018	NUM
ijassa-660	1	6	;	;	PUNCT
ijassa-660	1	7	4:1–12	4:1–12	NUM
ijassa-660	1	8	published	publish	VERB
ijassa-660	1	9	online	online	ADV
ijassa-660	1	10	at	at	ADP
ijassa-660	1	11	http://ijassa.ipu.ru/index.php/ijassa/article/view/660	http://ijassa.ipu.ru/index.php/ijassa/article/view/660	NOUN
ijassa-660	1	12	tuning	tune	VERB
ijassa-660	1	13	hybrid	hybrid	ADJ
ijassa-660	1	14	distributed	distribute	VERB
ijassa-660	1	15	storage	storage	NOUN
ijassa-660	1	16	system	system	NOUN
ijassa-660	1	17	digital	digital	ADJ
ijassa-660	1	18	twins	twin	NOUN
ijassa-660	1	19	by	by	ADP
ijassa-660	1	20	reinforcement	reinforcement	NOUN
ijassa-660	1	21	learning	learning	NOUN
ijassa-660	1	22	vladislav	vladislav	PROPN
ijassa-660	1	23	belavin1∗	belavin1∗	PROPN
ijassa-660	1	24	,	,	PUNCT
ijassa-660	1	25	kenenbek	kenenbek	PROPN
ijassa-660	1	26	arzymatov1	arzymatov1	PROPN
ijassa-660	1	27	,	,	PUNCT
ijassa-660	1	28	maksim	maksim	PROPN
ijassa-660	1	29	karpov1	karpov1	PROPN
ijassa-660	1	30	,	,	PUNCT
ijassa-660	1	31	andrey	andrey	PROPN
ijassa-660	1	32	nevolin2	nevolin2	PROPN
ijassa-660	1	33	andrey	andrey	PROPN
ijassa-660	1	34	sapronov1,3	sapronov1,3	PROPN
ijassa-660	1	35	,	,	PUNCT
ijassa-660	1	36	andrey	andrey	PROPN
ijassa-660	1	37	ustyuzhanin1,4	ustyuzhanin1,4	PROPN
ijassa-660	1	38	1national	1national	NUM
ijassa-660	1	39	research	research	NOUN
ijassa-660	1	40	university	university	NOUN
ijassa-660	1	41	higher	high	ADJ
ijassa-660	1	42	school	school	NOUN
ijassa-660	1	43	of	of	ADP
ijassa-660	1	44	economics	economic	NOUN
ijassa-660	1	45	,	,	PUNCT
ijassa-660	1	46	myasnitskaya	myasnitskaya	NOUN
ijassa-660	1	47	20	20	NUM
ijassa-660	1	48	,	,	PUNCT
ijassa-660	1	49	101000	101000	NUM
ijassa-660	1	50	,	,	PUNCT
ijassa-660	1	51	moscow	moscow	PROPN
ijassa-660	1	52	,	,	PUNCT
ijassa-660	1	53	russia	russia	PROPN
ijassa-660	1	54	2yadro	2yadro	NUM
ijassa-660	1	55	,	,	PUNCT
ijassa-660	1	56	rochdelskaya	rochdelskaya	NOUN
ijassa-660	1	57	15/13	15/13	NUM
ijassa-660	1	58	,	,	PUNCT
ijassa-660	1	59	123022	123022	NUM
ijassa-660	1	60	,	,	PUNCT
ijassa-660	1	61	moscow	moscow	PROPN
ijassa-660	1	62	,	,	PUNCT
ijassa-660	1	63	russia	russia	PROPN
ijassa-660	1	64	3joint	3joint	PROPN
ijassa-660	1	65	institute	institute	NOUN
ijassa-660	1	66	for	for	ADP
ijassa-660	1	67	nuclear	nuclear	ADJ
ijassa-660	1	68	research	research	NOUN
ijassa-660	1	69	,	,	PUNCT
ijassa-660	1	70	joliot	joliot	NOUN
ijassa-660	1	71	-	-	PUNCT
ijassa-660	1	72	curie	curie	NOUN
ijassa-660	1	73	6	6	NUM
ijassa-660	1	74	,	,	PUNCT
ijassa-660	1	75	dubna	dubna	PROPN
ijassa-660	1	76	,	,	PUNCT
ijassa-660	1	77	moscow	moscow	PROPN
ijassa-660	1	78	region	region	NOUN
ijassa-660	1	79	,	,	PUNCT
ijassa-660	1	80	141980	141980	NUM
ijassa-660	1	81	,	,	PUNCT
ijassa-660	1	82	russia	russia	PROPN
ijassa-660	1	83	4moscow	4moscow	PROPN
ijassa-660	1	84	institute	institute	PROPN
ijassa-660	1	85	of	of	ADP
ijassa-660	1	86	physics	physics	PROPN
ijassa-660	1	87	and	and	CCONJ
ijassa-660	1	88	technology	technology	NOUN
ijassa-660	1	89	,	,	PUNCT
ijassa-660	1	90	institutskiy	institutskiy	NOUN
ijassa-660	1	91	per	per	ADP
ijassa-660	1	92	.	.	PROPN
ijassa-660	1	93	9	9	NUM
ijassa-660	1	94	,	,	PUNCT
ijassa-660	1	95	dolgoprudny	dolgoprudny	VERB
ijassa-660	1	96	,	,	PUNCT
ijassa-660	1	97	moscow	moscow	PROPN
ijassa-660	1	98	reg	reg	PROPN
ijassa-660	1	99	.	.	PROPN
ijassa-660	1	100	,	,	PUNCT
ijassa-660	1	101	141700	141700	NUM
ijassa-660	1	102	,	,	PUNCT
ijassa-660	1	103	russia	russia	PROPN
ijassa-660	1	104	received	receive	VERB
ijassa-660	1	105	november	november	PROPN
ijassa-660	1	106	11	11	NUM
ijassa-660	1	107	,	,	PUNCT
ijassa-660	1	108	2018	2018	NUM
ijassa-660	1	109	;	;	PUNCT
ijassa-660	1	110	revised	revise	VERB
ijassa-660	1	111	december	december	PROPN
ijassa-660	1	112	12	12	NUM
ijassa-660	1	113	,	,	PUNCT
ijassa-660	1	114	2018	2018	NUM
ijassa-660	1	115	;	;	PUNCT
ijassa-660	1	116	published	publish	VERB
ijassa-660	1	117	december	december	PROPN
ijassa-660	1	118	31	31	NUM
ijassa-660	1	119	,	,	PUNCT
ijassa-660	1	120	2018	2018	NUM
ijassa-660	1	121	abstract	abstract	NOUN
ijassa-660	1	122	:	:	PUNCT
ijassa-660	1	123	in	in	ADP
ijassa-660	1	124	this	this	DET
ijassa-660	1	125	paper	paper	NOUN
ijassa-660	1	126	we	we	PRON
ijassa-660	1	127	develop	develop	VERB
ijassa-660	1	128	a	a	DET
ijassa-660	1	129	concept	concept	NOUN
ijassa-660	1	130	of	of	ADP
ijassa-660	1	131	data	data	NOUN
ijassa-660	1	132	-	-	PUNCT
ijassa-660	1	133	driven	drive	VERB
ijassa-660	1	134	control	control	NOUN
ijassa-660	1	135	of	of	ADP
ijassa-660	1	136	distributed	distribute	VERB
ijassa-660	1	137	storage	storage	NOUN
ijassa-660	1	138	systems	system	NOUN
ijassa-660	1	139	digital	digital	ADJ
ijassa-660	1	140	twin	twin	NOUN
ijassa-660	1	141	.	.	PUNCT
ijassa-660	2	1	the	the	DET
ijassa-660	2	2	design	design	NOUN
ijassa-660	2	3	of	of	ADP
ijassa-660	2	4	the	the	DET
ijassa-660	2	5	digital	digital	ADJ
ijassa-660	2	6	twin	twin	NOUN
ijassa-660	2	7	is	be	AUX
ijassa-660	2	8	supported	support	VERB
ijassa-660	2	9	by	by	ADP
ijassa-660	2	10	an	an	DET
ijassa-660	2	11	optimal	optimal	ADJ
ijassa-660	2	12	control	control	NOUN
ijassa-660	2	13	strategy	strategy	NOUN
ijassa-660	2	14	created	create	VERB
ijassa-660	2	15	by	by	ADP
ijassa-660	2	16	reinforcement	reinforcement	NOUN
ijassa-660	2	17	learning	learning	NOUN
ijassa-660	2	18	technique	technique	NOUN
ijassa-660	2	19	.	.	PUNCT
ijassa-660	3	1	in	in	ADP
ijassa-660	3	2	the	the	DET
ijassa-660	3	3	proposed	propose	VERB
ijassa-660	3	4	approach	approach	NOUN
ijassa-660	3	5	we	we	PRON
ijassa-660	3	6	consider	consider	VERB
ijassa-660	3	7	a	a	DET
ijassa-660	3	8	combination	combination	NOUN
ijassa-660	3	9	of	of	ADP
ijassa-660	3	10	a	a	DET
ijassa-660	3	11	trained	train	VERB
ijassa-660	3	12	neural	neural	ADJ
ijassa-660	3	13	network	network	NOUN
ijassa-660	3	14	that	that	PRON
ijassa-660	3	15	tunes	tune	VERB
ijassa-660	3	16	the	the	DET
ijassa-660	3	17	parameters	parameter	NOUN
ijassa-660	3	18	of	of	ADP
ijassa-660	3	19	a	a	DET
ijassa-660	3	20	discrete	discrete	ADJ
ijassa-660	3	21	event	event	NOUN
ijassa-660	3	22	-	-	PUNCT
ijassa-660	3	23	driven	drive	VERB
ijassa-660	3	24	storage	storage	NOUN
ijassa-660	3	25	system	system	NOUN
ijassa-660	3	26	simulator	simulator	NOUN
ijassa-660	3	27	to	to	PART
ijassa-660	3	28	gain	gain	VERB
ijassa-660	3	29	the	the	DET
ijassa-660	3	30	best	good	ADJ
ijassa-660	3	31	resemblance	resemblance	NOUN
ijassa-660	3	32	to	to	ADP
ijassa-660	3	33	the	the	DET
ijassa-660	3	34	actual	actual	ADJ
ijassa-660	3	35	system	system	NOUN
ijassa-660	3	36	.	.	PUNCT
ijassa-660	4	1	the	the	DET
ijassa-660	4	2	proposed	propose	VERB
ijassa-660	4	3	method	method	NOUN
ijassa-660	4	4	has	have	VERB
ijassa-660	4	5	several	several	ADJ
ijassa-660	4	6	benefits	benefit	NOUN
ijassa-660	4	7	compared	compare	VERB
ijassa-660	4	8	to	to	ADP
ijassa-660	4	9	conventional	conventional	ADJ
ijassa-660	4	10	approaches	approach	NOUN
ijassa-660	4	11	providing	provide	VERB
ijassa-660	4	12	trade	trade	NOUN
ijassa-660	4	13	-	-	PUNCT
ijassa-660	4	14	offs	off	NOUN
ijassa-660	4	15	between	between	ADP
ijassa-660	4	16	the	the	DET
ijassa-660	4	17	simplicity	simplicity	NOUN
ijassa-660	4	18	of	of	ADP
ijassa-660	4	19	customization	customization	NOUN
ijassa-660	4	20	,	,	PUNCT
ijassa-660	4	21	the	the	DET
ijassa-660	4	22	ability	ability	NOUN
ijassa-660	4	23	to	to	PART
ijassa-660	4	24	infer	infer	VERB
ijassa-660	4	25	nontrivial	nontrivial	ADJ
ijassa-660	4	26	patterns	pattern	NOUN
ijassa-660	4	27	from	from	ADP
ijassa-660	4	28	the	the	DET
ijassa-660	4	29	real	real	ADJ
ijassa-660	4	30	system	system	NOUN
ijassa-660	4	31	represented	represent	VERB
ijassa-660	4	32	by	by	ADP
ijassa-660	4	33	the	the	DET
ijassa-660	4	34	simulation	simulation	NOUN
ijassa-660	4	35	model	model	NOUN
ijassa-660	4	36	and	and	CCONJ
ijassa-660	4	37	interpretable	interpretable	ADJ
ijassa-660	4	38	behavior	behavior	NOUN
ijassa-660	4	39	.	.	PUNCT
ijassa-660	5	1	we	we	PRON
ijassa-660	5	2	consider	consider	VERB
ijassa-660	5	3	different	different	ADJ
ijassa-660	5	4	optimization	optimization	NOUN
ijassa-660	5	5	metrics	metric	NOUN
ijassa-660	5	6	and	and	CCONJ
ijassa-660	5	7	demonstrate	demonstrate	VERB
ijassa-660	5	8	the	the	DET
ijassa-660	5	9	viability	viability	NOUN
ijassa-660	5	10	of	of	ADP
ijassa-660	5	11	the	the	DET
ijassa-660	5	12	approach	approach	NOUN
ijassa-660	5	13	using	use	VERB
ijassa-660	5	14	a	a	DET
ijassa-660	5	15	toy	toy	NOUN
ijassa-660	5	16	training	training	NOUN
ijassa-660	5	17	system	system	NOUN
ijassa-660	5	18	until	until	SCONJ
ijassa-660	5	19	physical	physical	ADJ
ijassa-660	5	20	system	system	NOUN
ijassa-660	5	21	becomes	become	VERB
ijassa-660	5	22	available	available	ADJ
ijassa-660	5	23	.	.	PUNCT
ijassa-660	6	1	keywords	keyword	NOUN
ijassa-660	6	2	:	:	PUNCT
ijassa-660	6	3	storage	storage	NOUN
ijassa-660	6	4	area	area	NOUN
ijassa-660	6	5	network	network	NOUN
ijassa-660	6	6	,	,	PUNCT
ijassa-660	6	7	digital	digital	ADJ
ijassa-660	6	8	twin	twin	NOUN
ijassa-660	6	9	,	,	PUNCT
ijassa-660	6	10	simulation	simulation	NOUN
ijassa-660	6	11	,	,	PUNCT
ijassa-660	6	12	machine	machine	NOUN
ijassa-660	6	13	learning	learning	NOUN
ijassa-660	6	14	,	,	PUNCT
ijassa-660	6	15	reinforcement	reinforcement	NOUN
ijassa-660	6	16	learning	learning	NOUN
ijassa-660	6	17	1	1	NUM
ijassa-660	6	18	.	.	PUNCT
ijassa-660	7	1	introduction	introduction	NOUN
ijassa-660	7	2	digital	digital	ADJ
ijassa-660	7	3	twins	twin	NOUN
ijassa-660	8	1	[	[	X
ijassa-660	8	2	1	1	NUM
ijassa-660	8	3	,	,	PUNCT
ijassa-660	8	4	2	2	NUM
ijassa-660	8	5	]	]	PUNCT
ijassa-660	8	6	are	be	AUX
ijassa-660	8	7	used	use	VERB
ijassa-660	8	8	to	to	PART
ijassa-660	8	9	simulate	simulate	VERB
ijassa-660	8	10	a	a	DET
ijassa-660	8	11	behavior	behavior	NOUN
ijassa-660	8	12	of	of	ADP
ijassa-660	8	13	complex	complex	ADJ
ijassa-660	8	14	systems	system	NOUN
ijassa-660	8	15	.	.	PUNCT
ijassa-660	9	1	the	the	DET
ijassa-660	9	2	distributed	distribute	VERB
ijassa-660	9	3	storage	storage	NOUN
ijassa-660	9	4	systems	system	NOUN
ijassa-660	9	5	are	be	AUX
ijassa-660	9	6	built	build	VERB
ijassa-660	9	7	of	of	ADP
ijassa-660	9	8	multiple	multiple	ADJ
ijassa-660	9	9	components	component	NOUN
ijassa-660	9	10	,	,	PUNCT
ijassa-660	9	11	many	many	ADJ
ijassa-660	9	12	of	of	ADP
ijassa-660	9	13	which	which	PRON
ijassa-660	9	14	have	have	VERB
ijassa-660	9	15	measurable	measurable	ADJ
ijassa-660	9	16	parameters	parameter	NOUN
ijassa-660	9	17	altogether	altogether	ADV
ijassa-660	9	18	providing	provide	VERB
ijassa-660	9	19	valuable	valuable	ADJ
ijassa-660	9	20	diagnostic	diagnostic	ADJ
ijassa-660	9	21	information	information	NOUN
ijassa-660	9	22	.	.	PUNCT
ijassa-660	10	1	the	the	DET
ijassa-660	10	2	task	task	NOUN
ijassa-660	10	3	of	of	ADP
ijassa-660	10	4	storage	storage	NOUN
ijassa-660	10	5	system	system	NOUN
ijassa-660	10	6	simulation	simulation	NOUN
ijassa-660	10	7	converges	converge	VERB
ijassa-660	10	8	to	to	ADP
ijassa-660	10	9	building	build	VERB
ijassa-660	10	10	its	its	PRON
ijassa-660	10	11	digital	digital	ADJ
ijassa-660	10	12	twin	twin	NOUN
ijassa-660	10	13	with	with	ADP
ijassa-660	10	14	a	a	DET
ijassa-660	10	15	highly	highly	ADV
ijassa-660	10	16	accurate	accurate	ADJ
ijassa-660	10	17	description	description	NOUN
ijassa-660	10	18	of	of	ADP
ijassa-660	10	19	components	component	NOUN
ijassa-660	10	20	behavior	behavior	NOUN
ijassa-660	10	21	and	and	CCONJ
ijassa-660	10	22	its	its	PRON
ijassa-660	10	23	interaction	interaction	NOUN
ijassa-660	10	24	.	.	PUNCT
ijassa-660	11	1	such	such	ADJ
ijassa-660	11	2	approach	approach	NOUN
ijassa-660	11	3	allows	allow	VERB
ijassa-660	11	4	for	for	ADP
ijassa-660	11	5	prediction	prediction	NOUN
ijassa-660	11	6	of	of	ADP
ijassa-660	11	7	the	the	DET
ijassa-660	11	8	components	component	NOUN
ijassa-660	11	9	failure	failure	NOUN
ijassa-660	11	10	and	and	CCONJ
ijassa-660	11	11	studying	study	VERB
ijassa-660	11	12	the	the	DET
ijassa-660	11	13	failure	failure	NOUN
ijassa-660	11	14	outcomes	outcome	NOUN
ijassa-660	11	15	.	.	PUNCT
ijassa-660	12	1	in	in	ADP
ijassa-660	12	2	this	this	DET
ijassa-660	12	3	paper	paper	NOUN
ijassa-660	12	4	we	we	PRON
ijassa-660	12	5	consider	consider	VERB
ijassa-660	12	6	the	the	DET
ijassa-660	12	7	problem	problem	NOUN
ijassa-660	12	8	of	of	ADP
ijassa-660	12	9	building	build	VERB
ijassa-660	12	10	a	a	DET
ijassa-660	12	11	credible	credible	ADJ
ijassa-660	12	12	digital	digital	ADJ
ijassa-660	12	13	twin	twin	NOUN
ijassa-660	12	14	of	of	ADP
ijassa-660	12	15	the	the	DET
ijassa-660	12	16	distributed	distribute	VERB
ijassa-660	12	17	storage	storage	NOUN
ijassa-660	12	18	system	system	NOUN
ijassa-660	12	19	on	on	ADP
ijassa-660	12	20	the	the	DET
ijassa-660	12	21	assumption	assumption	NOUN
ijassa-660	12	22	that	that	SCONJ
ijassa-660	12	23	we	we	PRON
ijassa-660	12	24	have	have	AUX
ijassa-660	12	25	a	a	DET
ijassa-660	12	26	model	model	NOUN
ijassa-660	12	27	-	-	PUNCT
ijassa-660	12	28	based	base	VERB
ijassa-660	12	29	simulator	simulator	NOUN
ijassa-660	12	30	and	and	CCONJ
ijassa-660	12	31	data	datum	NOUN
ijassa-660	12	32	from	from	ADP
ijassa-660	12	33	the	the	DET
ijassa-660	12	34	real	real	ADJ
ijassa-660	12	35	system	system	NOUN
ijassa-660	12	36	.	.	PUNCT
ijassa-660	13	1	it	it	PRON
ijassa-660	13	2	is	be	AUX
ijassa-660	13	3	also	also	ADV
ijassa-660	13	4	assumed	assume	VERB
ijassa-660	13	5	that	that	SCONJ
ijassa-660	13	6	the	the	DET
ijassa-660	13	7	simulator	simulator	NOUN
ijassa-660	13	8	has	have	VERB
ijassa-660	13	9	a	a	DET
ijassa-660	13	10	set	set	NOUN
ijassa-660	13	11	of	of	ADP
ijassa-660	13	12	parameters	parameter	NOUN
ijassa-660	13	13	that	that	PRON
ijassa-660	13	14	can	can	AUX
ijassa-660	13	15	be	be	AUX
ijassa-660	13	16	changed	change	VERB
ijassa-660	13	17	during	during	ADP
ijassa-660	13	18	the	the	DET
ijassa-660	13	19	runtime	runtime	NOUN
ijassa-660	13	20	thus	thus	ADV
ijassa-660	13	21	affecting	affect	VERB
ijassa-660	13	22	following	follow	VERB
ijassa-660	13	23	simulation	simulation	NOUN
ijassa-660	13	24	states	state	NOUN
ijassa-660	13	25	.	.	PUNCT
ijassa-660	14	1	to	to	PART
ijassa-660	14	2	solve	solve	VERB
ijassa-660	14	3	this	this	DET
ijassa-660	14	4	problem	problem	NOUN
ijassa-660	14	5	,	,	PUNCT
ijassa-660	14	6	we	we	PRON
ijassa-660	14	7	propose	propose	VERB
ijassa-660	14	8	an	an	DET
ijassa-660	14	9	approach	approach	NOUN
ijassa-660	14	10	that	that	PRON
ijassa-660	14	11	combines	combine	VERB
ijassa-660	14	12	conventional	conventional	ADJ
ijassa-660	14	13	computer	computer	NOUN
ijassa-660	14	14	simulation	simulation	NOUN
ijassa-660	14	15	with	with	ADP
ijassa-660	14	16	machine	machine	NOUN
ijassa-660	14	17	learning	learning	NOUN
ijassa-660	14	18	.	.	PUNCT
ijassa-660	15	1	the	the	DET
ijassa-660	15	2	first	first	ADJ
ijassa-660	15	3	one	one	NOUN
ijassa-660	15	4	is	be	AUX
ijassa-660	15	5	usually	usually	ADV
ijassa-660	15	6	based	base	VERB
ijassa-660	15	7	on	on	ADP
ijassa-660	15	8	a	a	DET
ijassa-660	15	9	mathematical	mathematical	ADJ
ijassa-660	15	10	model	model	NOUN
ijassa-660	15	11	devised	devise	VERB
ijassa-660	15	12	by	by	ADP
ijassa-660	15	13	an	an	DET
ijassa-660	15	14	expert	expert	NOUN
ijassa-660	15	15	and	and	CCONJ
ijassa-660	15	16	the	the	DET
ijassa-660	15	17	second	second	ADJ
ijassa-660	15	18	one	one	NUM
ijassa-660	15	19	infers	infer	NOUN
ijassa-660	15	20	dependencies	dependency	NOUN
ijassa-660	15	21	from	from	ADP
ijassa-660	15	22	the	the	DET
ijassa-660	15	23	observed	observe	VERB
ijassa-660	15	24	data	datum	NOUN
ijassa-660	15	25	.	.	PUNCT
ijassa-660	16	1	the	the	DET
ijassa-660	16	2	control	control	NOUN
ijassa-660	16	3	over	over	ADP
ijassa-660	16	4	these	these	DET
ijassa-660	16	5	parameters	parameter	NOUN
ijassa-660	16	6	is	be	AUX
ijassa-660	16	7	delegated	delegate	VERB
ijassa-660	16	8	to	to	ADP
ijassa-660	16	9	a	a	DET
ijassa-660	16	10	neural	neural	ADJ
ijassa-660	16	11	network	network	NOUN
ijassa-660	16	12	trained	train	VERB
ijassa-660	16	13	on	on	ADP
ijassa-660	16	14	real	real	ADJ
ijassa-660	16	15	data	datum	NOUN
ijassa-660	16	16	using	use	VERB
ijassa-660	16	17	reinforcement	reinforcement	NOUN
ijassa-660	16	18	learning	learning	NOUN
ijassa-660	16	19	(	(	PUNCT
ijassa-660	16	20	rl	rl	NOUN
ijassa-660	16	21	)	)	PUNCT
ijassa-660	16	22	techniques	technique	NOUN
ijassa-660	16	23	.	.	PUNCT
ijassa-660	17	1	in	in	ADP
ijassa-660	17	2	the	the	DET
ijassa-660	17	3	case	case	NOUN
ijassa-660	17	4	of	of	ADP
ijassa-660	17	5	distributed	distribute	VERB
ijassa-660	17	6	storage	storage	NOUN
ijassa-660	17	7	systems	system	NOUN
ijassa-660	17	8	the	the	DET
ijassa-660	17	9	following	follow	VERB
ijassa-660	17	10	use	use	NOUN
ijassa-660	17	11	case	case	NOUN
ijassa-660	17	12	scenario	scenario	NOUN
ijassa-660	17	13	can	can	AUX
ijassa-660	17	14	be	be	AUX
ijassa-660	17	15	applied	apply	VERB
ijassa-660	17	16	.	.	PUNCT
ijassa-660	18	1	the	the	DET
ijassa-660	18	2	real	real	ADJ
ijassa-660	18	3	-	-	PUNCT
ijassa-660	18	4	time	time	NOUN
ijassa-660	18	5	prediction	prediction	NOUN
ijassa-660	18	6	of	of	ADP
ijassa-660	18	7	possible	possible	ADJ
ijassa-660	18	8	failures	failure	NOUN
ijassa-660	18	9	of	of	ADP
ijassa-660	18	10	the	the	DET
ijassa-660	18	11	real	real	ADJ
ijassa-660	18	12	system	system	NOUN
ijassa-660	18	13	with	with	ADP
ijassa-660	18	14	the	the	DET
ijassa-660	18	15	digital	digital	ADJ
ijassa-660	18	16	twin	twin	NOUN
ijassa-660	18	17	which	which	PRON
ijassa-660	18	18	is	be	AUX
ijassa-660	18	19	continuously	continuously	ADV
ijassa-660	18	20	provided	provide	VERB
ijassa-660	18	21	with	with	ADP
ijassa-660	18	22	information	information	NOUN
ijassa-660	18	23	from	from	ADP
ijassa-660	18	24	the	the	DET
ijassa-660	18	25	real	real	ADJ
ijassa-660	18	26	system	system	NOUN
ijassa-660	18	27	:	:	PUNCT
ijassa-660	18	28	load	load	NOUN
ijassa-660	18	29	and	and	CCONJ
ijassa-660	18	30	environment	environment	NOUN
ijassa-660	18	31	variables	variable	NOUN
ijassa-660	18	32	(	(	PUNCT
ijassa-660	18	33	temperature	temperature	NOUN
ijassa-660	18	34	,	,	PUNCT
ijassa-660	18	35	pressure	pressure	NOUN
ijassa-660	18	36	,	,	PUNCT
ijassa-660	18	37	etc	etc	X
ijassa-660	18	38	.	.	X
ijassa-660	18	39	)	)	PUNCT
ijassa-660	18	40	collected	collect	VERB
ijassa-660	18	41	from	from	ADP
ijassa-660	18	42	sensors	sensor	NOUN
ijassa-660	18	43	.	.	PUNCT
ijassa-660	19	1	2	2	NUM
ijassa-660	19	2	v.	v.	ADP
ijassa-660	19	3	belavin	belavin	PROPN
ijassa-660	19	4	et	et	PROPN
ijassa-660	19	5	al	al	PROPN
ijassa-660	19	6	.	.	PROPN
ijassa-660	20	1	one	one	NUM
ijassa-660	20	2	of	of	ADP
ijassa-660	20	3	the	the	DET
ijassa-660	20	4	limitations	limitation	NOUN
ijassa-660	20	5	of	of	ADP
ijassa-660	20	6	the	the	DET
ijassa-660	20	7	simulators	simulator	NOUN
ijassa-660	20	8	based	base	VERB
ijassa-660	20	9	on	on	ADP
ijassa-660	20	10	domain	domain	NOUN
ijassa-660	20	11	knowledge	knowledge	NOUN
ijassa-660	20	12	is	be	AUX
ijassa-660	20	13	the	the	DET
ijassa-660	20	14	rigidity	rigidity	NOUN
ijassa-660	20	15	of	of	ADP
ijassa-660	20	16	the	the	DET
ijassa-660	20	17	underlying	underlying	ADJ
ijassa-660	20	18	mathematical	mathematical	ADJ
ijassa-660	20	19	model	model	NOUN
ijassa-660	20	20	,	,	PUNCT
ijassa-660	20	21	resulting	result	VERB
ijassa-660	20	22	in	in	ADP
ijassa-660	20	23	a	a	DET
ijassa-660	20	24	limited	limited	ADJ
ijassa-660	20	25	ability	ability	NOUN
ijassa-660	20	26	to	to	PART
ijassa-660	20	27	reproduce	reproduce	VERB
ijassa-660	20	28	unexpected	unexpected	ADJ
ijassa-660	20	29	patterns	pattern	NOUN
ijassa-660	20	30	that	that	PRON
ijassa-660	20	31	might	might	AUX
ijassa-660	20	32	be	be	AUX
ijassa-660	20	33	observed	observe	VERB
ijassa-660	20	34	in	in	ADP
ijassa-660	20	35	real	real	ADJ
ijassa-660	20	36	data	datum	NOUN
ijassa-660	20	37	.	.	PUNCT
ijassa-660	21	1	such	such	ADJ
ijassa-660	21	2	inability	inability	NOUN
ijassa-660	21	3	to	to	PART
ijassa-660	21	4	imitate	imitate	VERB
ijassa-660	21	5	real	real	ADJ
ijassa-660	21	6	system	system	NOUN
ijassa-660	21	7	behavior	behavior	NOUN
ijassa-660	21	8	implies	imply	VERB
ijassa-660	21	9	the	the	DET
ijassa-660	21	10	necessity	necessity	NOUN
ijassa-660	21	11	for	for	ADP
ijassa-660	21	12	a	a	DET
ijassa-660	21	13	revision	revision	NOUN
ijassa-660	21	14	of	of	ADP
ijassa-660	21	15	the	the	DET
ijassa-660	21	16	mathematical	mathematical	ADJ
ijassa-660	21	17	model	model	NOUN
ijassa-660	21	18	over	over	ADP
ijassa-660	21	19	and	and	CCONJ
ijassa-660	21	20	over	over	ADV
ijassa-660	21	21	again	again	ADV
ijassa-660	21	22	.	.	PUNCT
ijassa-660	22	1	this	this	DET
ijassa-660	22	2	cycle	cycle	NOUN
ijassa-660	22	3	of	of	ADP
ijassa-660	22	4	trial	trial	NOUN
ijassa-660	22	5	and	and	CCONJ
ijassa-660	22	6	error	error	NOUN
ijassa-660	22	7	can	can	AUX
ijassa-660	22	8	take	take	VERB
ijassa-660	22	9	a	a	DET
ijassa-660	22	10	lot	lot	NOUN
ijassa-660	22	11	of	of	ADP
ijassa-660	22	12	time	time	NOUN
ijassa-660	22	13	and	and	CCONJ
ijassa-660	22	14	human	human	ADJ
ijassa-660	22	15	resources	resource	NOUN
ijassa-660	22	16	.	.	PUNCT
ijassa-660	23	1	besides	besides	SCONJ
ijassa-660	23	2	,	,	PUNCT
ijassa-660	23	3	simulators	simulator	NOUN
ijassa-660	23	4	are	be	AUX
ijassa-660	23	5	usually	usually	ADV
ijassa-660	23	6	ignorant	ignorant	ADJ
ijassa-660	23	7	of	of	ADP
ijassa-660	23	8	the	the	DET
ijassa-660	23	9	appearance	appearance	NOUN
ijassa-660	23	10	of	of	ADP
ijassa-660	23	11	new	new	ADJ
ijassa-660	23	12	data	datum	NOUN
ijassa-660	23	13	,	,	PUNCT
ijassa-660	23	14	i.e.	i.e.	X
ijassa-660	23	15	can	can	AUX
ijassa-660	23	16	not	not	PART
ijassa-660	23	17	adapt	adapt	VERB
ijassa-660	23	18	to	to	ADP
ijassa-660	23	19	newly	newly	ADV
ijassa-660	23	20	observed	observe	VERB
ijassa-660	23	21	patterns	pattern	NOUN
ijassa-660	23	22	in	in	ADP
ijassa-660	23	23	the	the	DET
ijassa-660	23	24	data	datum	NOUN
ijassa-660	23	25	due	due	ADP
ijassa-660	23	26	to	to	ADP
ijassa-660	23	27	,	,	PUNCT
ijassa-660	23	28	for	for	ADP
ijassa-660	23	29	example	example	NOUN
ijassa-660	23	30	,	,	PUNCT
ijassa-660	23	31	the	the	DET
ijassa-660	23	32	degeneracy	degeneracy	NOUN
ijassa-660	23	33	of	of	ADP
ijassa-660	23	34	some	some	DET
ijassa-660	23	35	components	component	NOUN
ijassa-660	23	36	or	or	CCONJ
ijassa-660	23	37	/	/	SYM
ijassa-660	23	38	and	and	CCONJ
ijassa-660	23	39	changes	change	NOUN
ijassa-660	23	40	in	in	ADP
ijassa-660	23	41	external	external	ADJ
ijassa-660	23	42	conditions	condition	NOUN
ijassa-660	23	43	.	.	PUNCT
ijassa-660	24	1	on	on	ADP
ijassa-660	24	2	the	the	DET
ijassa-660	24	3	other	other	ADJ
ijassa-660	24	4	hand	hand	NOUN
ijassa-660	24	5	,	,	PUNCT
ijassa-660	24	6	simulation	simulation	NOUN
ijassa-660	24	7	approaches	approach	VERB
ijassa-660	24	8	in	in	ADP
ijassa-660	24	9	machine	machine	NOUN
ijassa-660	24	10	learning	learning	NOUN
ijassa-660	24	11	,	,	PUNCT
ijassa-660	24	12	for	for	ADP
ijassa-660	24	13	instance	instance	NOUN
ijassa-660	24	14	,	,	PUNCT
ijassa-660	24	15	generative	generative	ADJ
ijassa-660	24	16	adversarial	adversarial	ADJ
ijassa-660	24	17	networks	network	NOUN
ijassa-660	24	18	[	[	X
ijassa-660	24	19	3	3	NUM
ijassa-660	24	20	]	]	PUNCT
ijassa-660	24	21	,	,	PUNCT
ijassa-660	24	22	require	require	VERB
ijassa-660	24	23	only	only	ADJ
ijassa-660	24	24	data	datum	NOUN
ijassa-660	24	25	to	to	PART
ijassa-660	24	26	reproduce	reproduce	VERB
ijassa-660	24	27	behavior	behavior	NOUN
ijassa-660	24	28	of	of	ADP
ijassa-660	24	29	the	the	DET
ijassa-660	24	30	real	real	ADJ
ijassa-660	24	31	system	system	NOUN
ijassa-660	24	32	.	.	PUNCT
ijassa-660	25	1	the	the	DET
ijassa-660	25	2	indisputable	indisputable	ADJ
ijassa-660	25	3	advantage	advantage	NOUN
ijassa-660	25	4	of	of	ADP
ijassa-660	25	5	the	the	DET
ijassa-660	25	6	gan	gan	PROPN
ijassa-660	25	7	approach	approach	NOUN
ijassa-660	25	8	is	be	AUX
ijassa-660	25	9	its	its	PRON
ijassa-660	25	10	simplicity	simplicity	NOUN
ijassa-660	25	11	.	.	PUNCT
ijassa-660	26	1	however	however	ADV
ijassa-660	26	2	at	at	ADV
ijassa-660	26	3	least	least	ADV
ijassa-660	26	4	two	two	NUM
ijassa-660	26	5	significant	significant	ADJ
ijassa-660	26	6	problems	problem	NOUN
ijassa-660	26	7	are	be	AUX
ijassa-660	26	8	arising	arise	VERB
ijassa-660	26	9	.	.	PUNCT
ijassa-660	27	1	firstly	firstly	ADV
ijassa-660	27	2	,	,	PUNCT
ijassa-660	27	3	without	without	ADP
ijassa-660	27	4	any	any	DET
ijassa-660	27	5	underlying	underlie	VERB
ijassa-660	27	6	model	model	NOUN
ijassa-660	27	7	,	,	PUNCT
ijassa-660	27	8	it	it	PRON
ijassa-660	27	9	is	be	AUX
ijassa-660	27	10	hard	hard	ADJ
ijassa-660	27	11	to	to	PART
ijassa-660	27	12	interpret	interpret	VERB
ijassa-660	27	13	the	the	DET
ijassa-660	27	14	neural	neural	ADJ
ijassa-660	27	15	network[4	network[4	NOUN
ijassa-660	27	16	]	]	X
ijassa-660	27	17	.	.	PUNCT
ijassa-660	28	1	secondly	secondly	ADV
ijassa-660	28	2	,	,	PUNCT
ijassa-660	28	3	it	it	PRON
ijassa-660	28	4	might	might	AUX
ijassa-660	28	5	be	be	AUX
ijassa-660	28	6	inaccurate	inaccurate	ADJ
ijassa-660	28	7	in	in	ADP
ijassa-660	28	8	operating	operate	VERB
ijassa-660	28	9	regions	region	NOUN
ijassa-660	28	10	that	that	PRON
ijassa-660	28	11	have	have	AUX
ijassa-660	28	12	not	not	PART
ijassa-660	28	13	been	be	AUX
ijassa-660	28	14	presented	present	VERB
ijassa-660	28	15	in	in	ADP
ijassa-660	28	16	the	the	DET
ijassa-660	28	17	dataset	dataset	NOUN
ijassa-660	28	18	.	.	PUNCT
ijassa-660	29	1	we	we	PRON
ijassa-660	29	2	can	can	AUX
ijassa-660	29	3	achieve	achieve	VERB
ijassa-660	29	4	a	a	DET
ijassa-660	29	5	synergy	synergy	NOUN
ijassa-660	29	6	between	between	ADP
ijassa-660	29	7	two	two	NUM
ijassa-660	29	8	inherently	inherently	ADV
ijassa-660	29	9	different	different	ADJ
ijassa-660	29	10	methods	method	NOUN
ijassa-660	29	11	by	by	ADP
ijassa-660	29	12	loosening	loosen	VERB
ijassa-660	29	13	constraints	constraint	NOUN
ijassa-660	29	14	on	on	ADP
ijassa-660	29	15	the	the	DET
ijassa-660	29	16	simulator	simulator	NOUN
ijassa-660	29	17	and	and	CCONJ
ijassa-660	29	18	delegating	delegate	VERB
ijassa-660	29	19	the	the	DET
ijassa-660	29	20	control	control	NOUN
ijassa-660	29	21	over	over	ADP
ijassa-660	29	22	parameters	parameter	NOUN
ijassa-660	29	23	to	to	ADP
ijassa-660	29	24	the	the	DET
ijassa-660	29	25	neural	neural	ADJ
ijassa-660	29	26	network	network	NOUN
ijassa-660	29	27	.	.	PUNCT
ijassa-660	30	1	in	in	ADP
ijassa-660	30	2	this	this	DET
ijassa-660	30	3	case	case	NOUN
ijassa-660	30	4	,	,	PUNCT
ijassa-660	30	5	the	the	DET
ijassa-660	30	6	simplification	simplification	NOUN
ijassa-660	30	7	of	of	ADP
ijassa-660	30	8	the	the	DET
ijassa-660	30	9	simulator	simulator	NOUN
ijassa-660	30	10	model	model	NOUN
ijassa-660	30	11	provides	provide	VERB
ijassa-660	30	12	more	more	ADJ
ijassa-660	30	13	freedom	freedom	NOUN
ijassa-660	30	14	for	for	ADP
ijassa-660	30	15	the	the	DET
ijassa-660	30	16	neural	neural	ADJ
ijassa-660	30	17	network	network	NOUN
ijassa-660	30	18	,	,	PUNCT
ijassa-660	30	19	simultaneously	simultaneously	ADV
ijassa-660	30	20	regularizing	regularize	VERB
ijassa-660	30	21	it	it	PRON
ijassa-660	30	22	and	and	CCONJ
ijassa-660	30	23	making	make	VERB
ijassa-660	30	24	interpretation	interpretation	NOUN
ijassa-660	30	25	of	of	ADP
ijassa-660	30	26	the	the	DET
ijassa-660	30	27	hybrid	hybrid	ADJ
ijassa-660	30	28	model	model	NOUN
ijassa-660	30	29	much	much	ADV
ijassa-660	30	30	more	more	ADV
ijassa-660	30	31	manageable	manageable	ADJ
ijassa-660	30	32	than	than	ADP
ijassa-660	30	33	for	for	ADP
ijassa-660	30	34	the	the	DET
ijassa-660	30	35	single	single	ADJ
ijassa-660	30	36	neural	neural	ADJ
ijassa-660	30	37	network	network	NOUN
ijassa-660	30	38	.	.	PUNCT
ijassa-660	31	1	our	our	PRON
ijassa-660	31	2	approach	approach	NOUN
ijassa-660	31	3	has	have	AUX
ijassa-660	31	4	following	follow	VERB
ijassa-660	31	5	key	key	ADJ
ijassa-660	31	6	differences	difference	NOUN
ijassa-660	31	7	in	in	ADP
ijassa-660	31	8	comparison	comparison	NOUN
ijassa-660	31	9	with	with	ADP
ijassa-660	31	10	existing	exist	VERB
ijassa-660	31	11	solutions	solution	NOUN
ijassa-660	31	12	:	:	PUNCT
ijassa-660	31	13	1	1	X
ijassa-660	31	14	.	.	X
ijassa-660	31	15	a	a	DET
ijassa-660	31	16	novel	novel	ADJ
ijassa-660	31	17	idea	idea	NOUN
ijassa-660	31	18	of	of	ADP
ijassa-660	31	19	recovery	recovery	NOUN
ijassa-660	31	20	of	of	ADP
ijassa-660	31	21	the	the	DET
ijassa-660	31	22	functional	functional	ADJ
ijassa-660	31	23	dependency	dependency	NOUN
ijassa-660	31	24	of	of	ADP
ijassa-660	31	25	control	control	NOUN
ijassa-660	31	26	parameters	parameter	NOUN
ijassa-660	31	27	,	,	PUNCT
ijassa-660	31	28	instead	instead	ADV
ijassa-660	31	29	of	of	ADP
ijassa-660	31	30	point	point	NOUN
ijassa-660	31	31	estimation	estimation	NOUN
ijassa-660	31	32	;	;	PUNCT
ijassa-660	32	1	2	2	X
ijassa-660	32	2	.	.	X
ijassa-660	32	3	a	a	DET
ijassa-660	32	4	fusion	fusion	NOUN
ijassa-660	32	5	of	of	ADP
ijassa-660	32	6	the	the	DET
ijassa-660	32	7	discrete	discrete	ADJ
ijassa-660	32	8	event	event	NOUN
ijassa-660	32	9	simulator	simulator	NOUN
ijassa-660	32	10	with	with	ADP
ijassa-660	32	11	the	the	DET
ijassa-660	32	12	neural	neural	ADJ
ijassa-660	32	13	network	network	NOUN
ijassa-660	32	14	;	;	PUNCT
ijassa-660	32	15	3	3	X
ijassa-660	32	16	.	.	X
ijassa-660	33	1	the	the	DET
ijassa-660	33	2	usage	usage	NOUN
ijassa-660	33	3	deep	deep	ADJ
ijassa-660	33	4	reinforcement	reinforcement	NOUN
ijassa-660	33	5	learning	learning	NOUN
ijassa-660	33	6	for	for	ADP
ijassa-660	33	7	a	a	DET
ijassa-660	33	8	such	such	ADJ
ijassa-660	33	9	task	task	NOUN
ijassa-660	33	10	;	;	PUNCT
ijassa-660	33	11	in	in	ADP
ijassa-660	33	12	this	this	DET
ijassa-660	33	13	paper	paper	NOUN
ijassa-660	33	14	,	,	PUNCT
ijassa-660	33	15	we	we	PRON
ijassa-660	33	16	test	test	VERB
ijassa-660	33	17	the	the	DET
ijassa-660	33	18	viability	viability	NOUN
ijassa-660	33	19	of	of	ADP
ijassa-660	33	20	such	such	DET
ijassa-660	33	21	an	an	DET
ijassa-660	33	22	approach	approach	NOUN
ijassa-660	33	23	.	.	PUNCT
ijassa-660	34	1	2	2	X
ijassa-660	34	2	.	.	X
ijassa-660	34	3	related	relate	VERB
ijassa-660	34	4	works	work	VERB
ijassa-660	34	5	the	the	DET
ijassa-660	34	6	task	task	NOUN
ijassa-660	34	7	of	of	ADP
ijassa-660	34	8	storage	storage	NOUN
ijassa-660	34	9	area	area	NOUN
ijassa-660	34	10	network	network	NOUN
ijassa-660	34	11	simulation	simulation	NOUN
ijassa-660	34	12	has	have	AUX
ijassa-660	34	13	been	be	AUX
ijassa-660	34	14	approached	approach	VERB
ijassa-660	34	15	in	in	ADP
ijassa-660	34	16	several	several	ADJ
ijassa-660	34	17	publications	publication	NOUN
ijassa-660	34	18	.	.	PUNCT
ijassa-660	35	1	the	the	DET
ijassa-660	35	2	majority	majority	NOUN
ijassa-660	35	3	of	of	ADP
ijassa-660	35	4	works	work	NOUN
ijassa-660	35	5	are	be	AUX
ijassa-660	35	6	focused	focus	VERB
ijassa-660	35	7	on	on	ADP
ijassa-660	35	8	the	the	DET
ijassa-660	35	9	discrete	discrete	ADJ
ijassa-660	35	10	event	event	NOUN
ijassa-660	35	11	simulation	simulation	NOUN
ijassa-660	35	12	methods	method	NOUN
ijassa-660	35	13	.	.	PUNCT
ijassa-660	36	1	the	the	DET
ijassa-660	36	2	researches	research	NOUN
ijassa-660	36	3	codes	code	NOUN
ijassa-660	36	4	project	project	NOUN
ijassa-660	36	5	uses	use	VERB
ijassa-660	36	6	a	a	DET
ijassa-660	36	7	highly	highly	ADV
ijassa-660	36	8	parallel	parallel	ADJ
ijassa-660	36	9	simulation	simulation	NOUN
ijassa-660	36	10	to	to	PART
ijassa-660	36	11	explore	explore	VERB
ijassa-660	36	12	the	the	DET
ijassa-660	36	13	design	design	NOUN
ijassa-660	36	14	of	of	ADP
ijassa-660	36	15	exascale	exascale	NOUN
ijassa-660	36	16	storage	storage	NOUN
ijassa-660	36	17	architectures	architecture	NOUN
ijassa-660	36	18	and	and	CCONJ
ijassa-660	36	19	distributed	distribute	VERB
ijassa-660	36	20	data	data	NOUN
ijassa-660	36	21	-	-	PUNCT
ijassa-660	36	22	intensive	intensive	ADJ
ijassa-660	36	23	science	science	NOUN
ijassa-660	36	24	facilities	facility	NOUN
ijassa-660	36	25	[	[	X
ijassa-660	36	26	5	5	NUM
ijassa-660	36	27	]	]	PUNCT
ijassa-660	36	28	.	.	PUNCT
ijassa-660	37	1	the	the	DET
ijassa-660	37	2	general	general	ADJ
ijassa-660	37	3	purpose	purpose	NOUN
ijassa-660	37	4	network	network	NOUN
ijassa-660	37	5	simulator	simulator	NOUN
ijassa-660	37	6	ns-3	ns-3	ADP
ijassa-660	38	1	[	[	X
ijassa-660	38	2	6	6	NUM
ijassa-660	38	3	]	]	PUNCT
ijassa-660	38	4	allows	allow	VERB
ijassa-660	38	5	a	a	DET
ijassa-660	38	6	detailed	detailed	ADJ
ijassa-660	38	7	modelling	modelling	NOUN
ijassa-660	38	8	of	of	ADP
ijassa-660	38	9	a	a	DET
ijassa-660	38	10	storage	storage	NOUN
ijassa-660	38	11	system	system	NOUN
ijassa-660	38	12	from	from	ADP
ijassa-660	38	13	the	the	DET
ijassa-660	38	14	view	view	NOUN
ijassa-660	38	15	of	of	ADP
ijassa-660	38	16	interconnected	interconnected	ADJ
ijassa-660	38	17	nodes	node	NOUN
ijassa-660	38	18	with	with	ADP
ijassa-660	38	19	different	different	ADJ
ijassa-660	38	20	functionality	functionality	NOUN
ijassa-660	38	21	.	.	PUNCT
ijassa-660	39	1	another	another	DET
ijassa-660	39	2	general	general	ADJ
ijassa-660	39	3	approach	approach	NOUN
ijassa-660	39	4	to	to	ADP
ijassa-660	39	5	networklike	networklike	ADJ
ijassa-660	39	6	structure	structure	NOUN
ijassa-660	39	7	simulation	simulation	NOUN
ijassa-660	39	8	is	be	AUX
ijassa-660	39	9	the	the	DET
ijassa-660	39	10	omnet++	omnet++	NOUN
ijassa-660	39	11	framework	framework	NOUN
ijassa-660	39	12	[	[	X
ijassa-660	39	13	7	7	NUM
ijassa-660	39	14	]	]	PUNCT
ijassa-660	39	15	.	.	PUNCT
ijassa-660	40	1	another	another	DET
ijassa-660	40	2	work	work	NOUN
ijassa-660	40	3	presents	present	VERB
ijassa-660	40	4	a	a	DET
ijassa-660	40	5	sansim	sansim	NOUN
ijassa-660	40	6	tool	tool	NOUN
ijassa-660	40	7	[	[	X
ijassa-660	40	8	8	8	NUM
ijassa-660	40	9	]	]	PUNCT
ijassa-660	40	10	,	,	PUNCT
ijassa-660	40	11	a	a	DET
ijassa-660	40	12	simulation	simulation	NOUN
ijassa-660	40	13	compliant	compliant	NOUN
ijassa-660	40	14	with	with	ADP
ijassa-660	40	15	the	the	DET
ijassa-660	40	16	fiber	fiber	NOUN
ijassa-660	40	17	channel	channel	NOUN
ijassa-660	40	18	technology	technology	NOUN
ijassa-660	40	19	often	often	ADV
ijassa-660	40	20	used	use	VERB
ijassa-660	40	21	in	in	ADP
ijassa-660	40	22	contemporary	contemporary	PROPN
ijassa-660	40	23	san	san	PROPN
ijassa-660	40	24	architectures	architecture	NOUN
ijassa-660	40	25	.	.	PUNCT
ijassa-660	41	1	more	more	ADJ
ijassa-660	41	2	simulation	simulation	NOUN
ijassa-660	41	3	methods	method	NOUN
ijassa-660	41	4	descriptions	description	NOUN
ijassa-660	41	5	and	and	CCONJ
ijassa-660	41	6	studies	study	NOUN
ijassa-660	41	7	dedicated	dedicate	VERB
ijassa-660	41	8	to	to	ADP
ijassa-660	41	9	san	san	PROPN
ijassa-660	41	10	system	system	NOUN
ijassa-660	41	11	modelling	modelling	NOUN
ijassa-660	41	12	can	can	AUX
ijassa-660	41	13	be	be	AUX
ijassa-660	41	14	found	find	VERB
ijassa-660	41	15	in	in	ADP
ijassa-660	41	16	[	[	X
ijassa-660	41	17	9	9	NUM
ijassa-660	41	18	,	,	PUNCT
ijassa-660	41	19	10	10	NUM
ijassa-660	41	20	,	,	PUNCT
ijassa-660	41	21	11	11	NUM
ijassa-660	41	22	,	,	PUNCT
ijassa-660	41	23	12	12	NUM
ijassa-660	41	24	]	]	PUNCT
ijassa-660	41	25	.	.	PUNCT
ijassa-660	42	1	from	from	ADP
ijassa-660	42	2	this	this	DET
ijassa-660	42	3	overview	overview	NOUN
ijassa-660	42	4	we	we	PRON
ijassa-660	42	5	can	can	AUX
ijassa-660	42	6	see	see	VERB
ijassa-660	42	7	that	that	SCONJ
ijassa-660	42	8	the	the	DET
ijassa-660	42	9	most	most	ADV
ijassa-660	42	10	popular	popular	ADJ
ijassa-660	42	11	approach	approach	NOUN
ijassa-660	42	12	to	to	ADP
ijassa-660	42	13	the	the	DET
ijassa-660	42	14	storage	storage	NOUN
ijassa-660	42	15	area	area	NOUN
ijassa-660	42	16	network	network	NOUN
ijassa-660	42	17	modelling	modelling	NOUN
ijassa-660	42	18	is	be	AUX
ijassa-660	42	19	the	the	DET
ijassa-660	42	20	deterministic	deterministic	ADJ
ijassa-660	42	21	method	method	NOUN
ijassa-660	42	22	based	base	VERB
ijassa-660	42	23	on	on	ADP
ijassa-660	42	24	discrete	discrete	ADJ
ijassa-660	42	25	event	event	NOUN
ijassa-660	42	26	sequences	sequence	NOUN
ijassa-660	42	27	.	.	PUNCT
ijassa-660	43	1	below	below	ADP
ijassa-660	43	2	we	we	PRON
ijassa-660	43	3	going	go	VERB
ijassa-660	43	4	to	to	PART
ijassa-660	43	5	discuss	discuss	VERB
ijassa-660	43	6	an	an	DET
ijassa-660	43	7	extension	extension	NOUN
ijassa-660	43	8	to	to	ADP
ijassa-660	43	9	this	this	DET
ijassa-660	43	10	method	method	NOUN
ijassa-660	43	11	by	by	ADP
ijassa-660	43	12	coupling	couple	VERB
ijassa-660	43	13	it	it	PRON
ijassa-660	43	14	with	with	ADP
ijassa-660	43	15	the	the	DET
ijassa-660	43	16	dynamic	dynamic	ADJ
ijassa-660	43	17	parameter	parameter	NOUN
ijassa-660	43	18	tuning	tuning	NOUN
ijassa-660	43	19	by	by	ADP
ijassa-660	43	20	means	mean	NOUN
ijassa-660	43	21	of	of	ADP
ijassa-660	43	22	a	a	DET
ijassa-660	43	23	neural	neural	ADJ
ijassa-660	43	24	network	network	NOUN
ijassa-660	43	25	trained	train	VERB
ijassa-660	43	26	with	with	ADP
ijassa-660	43	27	real	real	ADJ
ijassa-660	43	28	data	datum	NOUN
ijassa-660	43	29	sample	sample	NOUN
ijassa-660	43	30	.	.	PUNCT
ijassa-660	44	1	initially	initially	ADV
ijassa-660	44	2	,	,	PUNCT
ijassa-660	44	3	the	the	DET
ijassa-660	44	4	topic	topic	NOUN
ijassa-660	44	5	of	of	ADP
ijassa-660	44	6	simulation	simulation	NOUN
ijassa-660	44	7	parameters	parameter	NOUN
ijassa-660	44	8	optimization	optimization	NOUN
ijassa-660	44	9	using	use	VERB
ijassa-660	44	10	reinforcement	reinforcement	NOUN
ijassa-660	44	11	learning	learning	NOUN
ijassa-660	44	12	was	be	AUX
ijassa-660	44	13	discussed	discuss	VERB
ijassa-660	44	14	in	in	ADP
ijassa-660	44	15	[	[	X
ijassa-660	44	16	13	13	NUM
ijassa-660	44	17	]	]	PUNCT
ijassa-660	44	18	.	.	PUNCT
ijassa-660	45	1	in	in	ADP
ijassa-660	45	2	this	this	DET
ijassa-660	45	3	work	work	NOUN
ijassa-660	45	4	,	,	PUNCT
ijassa-660	45	5	the	the	DET
ijassa-660	45	6	discrete	discrete	ADV
ijassa-660	45	7	-	-	PUNCT
ijassa-660	45	8	valued	value	VERB
ijassa-660	45	9	parameters	parameter	NOUN
ijassa-660	45	10	are	be	AUX
ijassa-660	45	11	optimized	optimize	VERB
ijassa-660	45	12	to	to	PART
ijassa-660	45	13	construct	construct	VERB
ijassa-660	45	14	a	a	DET
ijassa-660	45	15	matrix	matrix	NOUN
ijassa-660	45	16	of	of	ADP
ijassa-660	45	17	optimal	optimal	ADJ
ijassa-660	45	18	actions	action	NOUN
ijassa-660	45	19	for	for	ADP
ijassa-660	45	20	each	each	DET
ijassa-660	45	21	state	state	NOUN
ijassa-660	45	22	.	.	PUNCT
ijassa-660	46	1	our	our	PRON
ijassa-660	46	2	approach	approach	NOUN
ijassa-660	46	3	features	feature	VERB
ijassa-660	46	4	a	a	DET
ijassa-660	46	5	solution	solution	NOUN
ijassa-660	46	6	for	for	ADP
ijassa-660	46	7	real	real	ADV
ijassa-660	46	8	-	-	PUNCT
ijassa-660	46	9	valued	value	VERB
ijassa-660	46	10	parameters	parameter	NOUN
ijassa-660	46	11	with	with	ADP
ijassa-660	46	12	the	the	DET
ijassa-660	46	13	usage	usage	NOUN
ijassa-660	46	14	of	of	ADP
ijassa-660	46	15	deep	deep	ADJ
ijassa-660	46	16	reinforcement	reinforcement	NOUN
ijassa-660	46	17	learning	learning	NOUN
ijassa-660	46	18	which	which	PRON
ijassa-660	46	19	primarily	primarily	ADV
ijassa-660	46	20	became	become	VERB
ijassa-660	46	21	possible	possible	ADJ
ijassa-660	46	22	due	due	ADP
ijassa-660	46	23	to	to	ADP
ijassa-660	46	24	advances	advance	NOUN
ijassa-660	46	25	in	in	ADP
ijassa-660	46	26	gpu	gpu	NOUN
ijassa-660	46	27	computing	computing	NOUN
ijassa-660	46	28	technology	technology	NOUN
ijassa-660	46	29	.	.	PUNCT
ijassa-660	47	1	our	our	PRON
ijassa-660	47	2	crucial	crucial	ADJ
ijassa-660	47	3	difference	difference	NOUN
ijassa-660	47	4	from	from	ADP
ijassa-660	47	5	the	the	DET
ijassa-660	47	6	mentioned	mention	VERB
ijassa-660	47	7	research	research	NOUN
ijassa-660	47	8	is	be	AUX
ijassa-660	47	9	the	the	DET
ijassa-660	47	10	derivation	derivation	NOUN
ijassa-660	47	11	of	of	ADP
ijassa-660	47	12	parameter	parameter	NOUN
ijassa-660	47	13	dynamics	dynamic	NOUN
ijassa-660	47	14	during	during	ADP
ijassa-660	47	15	the	the	DET
ijassa-660	47	16	whole	whole	ADJ
ijassa-660	47	17	simulation	simulation	NOUN
ijassa-660	47	18	cycle	cycle	NOUN
ijassa-660	47	19	instead	instead	ADV
ijassa-660	47	20	of	of	ADP
ijassa-660	47	21	just	just	ADV
ijassa-660	47	22	optimal	optimal	ADJ
ijassa-660	47	23	initial	initial	ADJ
ijassa-660	47	24	parameters	parameter	NOUN
ijassa-660	47	25	.	.	PUNCT
ijassa-660	48	1	another	another	DET
ijassa-660	48	2	way	way	NOUN
ijassa-660	48	3	to	to	PART
ijassa-660	48	4	find	find	VERB
ijassa-660	48	5	optimal	optimal	ADJ
ijassa-660	48	6	parameters	parameter	NOUN
ijassa-660	48	7	in	in	ADP
ijassa-660	48	8	the	the	DET
ijassa-660	48	9	presence	presence	NOUN
ijassa-660	48	10	of	of	ADP
ijassa-660	48	11	real	real	ADJ
ijassa-660	48	12	data	data	NOUN
ijassa-660	48	13	is	be	AUX
ijassa-660	48	14	a	a	DET
ijassa-660	48	15	validation	validation	NOUN
ijassa-660	48	16	of	of	ADP
ijassa-660	48	17	the	the	DET
ijassa-660	48	18	simulator	simulator	NOUN
ijassa-660	48	19	for	for	ADP
ijassa-660	48	20	each	each	DET
ijassa-660	48	21	set	set	NOUN
ijassa-660	48	22	of	of	ADP
ijassa-660	48	23	parameters	parameter	NOUN
ijassa-660	48	24	output[14	output[14	PROPN
ijassa-660	48	25	,	,	PUNCT
ijassa-660	48	26	15	15	NUM
ijassa-660	48	27	]	]	PUNCT
ijassa-660	48	28	.	.	PUNCT
ijassa-660	49	1	in	in	ADP
ijassa-660	49	2	this	this	DET
ijassa-660	49	3	setup	setup	NOUN
ijassa-660	49	4	for	for	ADP
ijassa-660	49	5	each	each	DET
ijassa-660	49	6	set	set	NOUN
ijassa-660	49	7	of	of	ADP
ijassa-660	49	8	parameters	parameter	NOUN
ijassa-660	49	9	for	for	ADP
ijassa-660	49	10	simulated	simulated	ADJ
ijassa-660	49	11	data	datum	NOUN
ijassa-660	49	12	and	and	CCONJ
ijassa-660	49	13	real	real	ADJ
ijassa-660	49	14	data	datum	NOUN
ijassa-660	49	15	the	the	DET
ijassa-660	49	16	hypothesis	hypothesis	NOUN
ijassa-660	49	17	is	be	AUX
ijassa-660	49	18	constructed	construct	VERB
ijassa-660	49	19	:	:	PUNCT
ijassa-660	49	20	copyright	copyright	NOUN
ijassa-660	49	21	c	c	ADP
ijassa-660	49	22	©	©	PROPN
ijassa-660	49	23	2018	2018	NUM
ijassa-660	49	24	assa	assa	NOUN
ijassa-660	49	25	.	.	PUNCT
ijassa-660	50	1	adv	adv	PROPN
ijassa-660	50	2	syst	syst	PROPN
ijassa-660	50	3	sci	sci	PROPN
ijassa-660	50	4	appl	appl	PROPN
ijassa-660	50	5	(	(	PUNCT
ijassa-660	50	6	2018	2018	NUM
ijassa-660	50	7	)	)	PUNCT
ijassa-660	50	8	tuning	tune	VERB
ijassa-660	50	9	dss	dss	NOUN
ijassa-660	50	10	digital	digital	ADJ
ijassa-660	50	11	twins	twin	NOUN
ijassa-660	50	12	with	with	ADP
ijassa-660	50	13	rl	rl	PROPN
ijassa-660	50	14	3	3	NUM
ijassa-660	50	15	h0	h0	NOUN
ijassa-660	50	16	:	:	PUNCT
ijassa-660	50	17	model	model	NOUN
ijassa-660	50	18	output	output	NOUN
ijassa-660	50	19	is	be	AUX
ijassa-660	50	20	the	the	DET
ijassa-660	50	21	same	same	ADJ
ijassa-660	50	22	as	as	ADP
ijassa-660	50	23	system	system	NOUN
ijassa-660	50	24	output	output	NOUN
ijassa-660	50	25	vs	vs	ADP
ijassa-660	50	26	h1	h1	NOUN
ijassa-660	50	27	:	:	PUNCT
ijassa-660	50	28	model	model	NOUN
ijassa-660	50	29	output	output	NOUN
ijassa-660	50	30	is	be	AUX
ijassa-660	50	31	not	not	PART
ijassa-660	50	32	the	the	DET
ijassa-660	50	33	same	same	ADJ
ijassa-660	50	34	as	as	SCONJ
ijassa-660	50	35	system	system	NOUN
ijassa-660	50	36	output	output	VERB
ijassa-660	50	37	the	the	DET
ijassa-660	50	38	choice	choice	NOUN
ijassa-660	50	39	of	of	ADP
ijassa-660	50	40	an	an	DET
ijassa-660	50	41	appropriate	appropriate	ADJ
ijassa-660	50	42	statistic	statistic	NOUN
ijassa-660	50	43	for	for	ADP
ijassa-660	50	44	outputs	output	NOUN
ijassa-660	50	45	comparison	comparison	NOUN
ijassa-660	50	46	as	as	ADV
ijassa-660	50	47	well	well	ADV
ijassa-660	50	48	as	as	ADP
ijassa-660	50	49	the	the	DET
ijassa-660	50	50	selection	selection	NOUN
ijassa-660	50	51	of	of	ADP
ijassa-660	50	52	a	a	DET
ijassa-660	50	53	statistical	statistical	ADJ
ijassa-660	50	54	test	test	NOUN
ijassa-660	50	55	depends	depend	VERB
ijassa-660	50	56	on	on	ADP
ijassa-660	50	57	a	a	DET
ijassa-660	50	58	particular	particular	ADJ
ijassa-660	50	59	problem	problem	NOUN
ijassa-660	50	60	.	.	PUNCT
ijassa-660	51	1	however	however	ADV
ijassa-660	51	2	,	,	PUNCT
ijassa-660	51	3	this	this	DET
ijassa-660	51	4	methodology	methodology	NOUN
ijassa-660	51	5	can	can	AUX
ijassa-660	51	6	only	only	ADV
ijassa-660	51	7	give	give	VERB
ijassa-660	51	8	an	an	DET
ijassa-660	51	9	estimation	estimation	NOUN
ijassa-660	51	10	of	of	ADP
ijassa-660	51	11	a	a	DET
ijassa-660	51	12	single	single	ADJ
ijassa-660	51	13	parameter	parameter	NOUN
ijassa-660	51	14	point	point	NOUN
ijassa-660	51	15	.	.	PUNCT
ijassa-660	52	1	3	3	X
ijassa-660	52	2	.	.	X
ijassa-660	52	3	simulator	simulator	NOUN
ijassa-660	52	4	3.1	3.1	NUM
ijassa-660	52	5	.	.	PUNCT
ijassa-660	52	6	simulated	simulate	VERB
ijassa-660	52	7	system	system	NOUN
ijassa-660	52	8	tatlin	tatlin	ADV
ijassa-660	52	9	(	(	PUNCT
ijassa-660	52	10	figure	figure	NOUN
ijassa-660	52	11	3.1	3.1	NUM
ijassa-660	52	12	)	)	PUNCT
ijassa-660	52	13	is	be	AUX
ijassa-660	52	14	a	a	DET
ijassa-660	52	15	pcie	pcie	NOUN
ijassa-660	52	16	-	-	PUNCT
ijassa-660	52	17	centric	centric	ADJ
ijassa-660	52	18	distributed	distribute	VERB
ijassa-660	52	19	storage	storage	NOUN
ijassa-660	52	20	system	system	NOUN
ijassa-660	52	21	designed	design	VERB
ijassa-660	52	22	by	by	ADP
ijassa-660	52	23	the	the	DET
ijassa-660	52	24	yadro	yadro	PROPN
ijassa-660	52	25	company	company	NOUN
ijassa-660	52	26	[	[	X
ijassa-660	52	27	16	16	NUM
ijassa-660	52	28	]	]	PUNCT
ijassa-660	52	29	.	.	PUNCT
ijassa-660	53	1	it	it	PRON
ijassa-660	53	2	consists	consist	VERB
ijassa-660	53	3	of	of	ADP
ijassa-660	53	4	hardware	hardware	NOUN
ijassa-660	53	5	computational	computational	ADJ
ijassa-660	53	6	tools	tool	NOUN
ijassa-660	53	7	and	and	CCONJ
ijassa-660	53	8	a	a	DET
ijassa-660	53	9	special	special	ADJ
ijassa-660	53	10	software	software	NOUN
ijassa-660	53	11	designed	design	VERB
ijassa-660	53	12	for	for	ADP
ijassa-660	53	13	storing	store	VERB
ijassa-660	53	14	and	and	CCONJ
ijassa-660	53	15	transmitting	transmit	VERB
ijassa-660	53	16	large	large	ADJ
ijassa-660	53	17	amounts	amount	NOUN
ijassa-660	53	18	of	of	ADP
ijassa-660	53	19	data	datum	NOUN
ijassa-660	53	20	.	.	PUNCT
ijassa-660	54	1	due	due	ADP
ijassa-660	54	2	to	to	ADP
ijassa-660	54	3	the	the	DET
ijassa-660	54	4	unified	unified	ADJ
ijassa-660	54	5	access	access	NOUN
ijassa-660	54	6	protocol(hybrid	protocol(hybrid	PROPN
ijassa-660	54	7	unified	unified	ADJ
ijassa-660	54	8	storage	storage	NOUN
ijassa-660	54	9	)	)	PUNCT
ijassa-660	54	10	,	,	PUNCT
ijassa-660	54	11	this	this	DET
ijassa-660	54	12	system	system	NOUN
ijassa-660	54	13	supports	support	VERB
ijassa-660	54	14	a	a	DET
ijassa-660	54	15	wide	wide	ADJ
ijassa-660	54	16	range	range	NOUN
ijassa-660	54	17	of	of	ADP
ijassa-660	54	18	disk	disk	NOUN
ijassa-660	54	19	interfaces	interface	NOUN
ijassa-660	54	20	:	:	PUNCT
ijassa-660	54	21	nvme	nvme	PROPN
ijassa-660	54	22	/	/	SYM
ijassa-660	54	23	sas	sas	PROPN
ijassa-660	54	24	ssd	ssd	PROPN
ijassa-660	54	25	and	and	CCONJ
ijassa-660	54	26	sas	sas	PROPN
ijassa-660	54	27	/	/	SYM
ijassa-660	54	28	nl	nl	NOUN
ijassa-660	54	29	-	-	PUNCT
ijassa-660	54	30	sas	sas	NOUN
ijassa-660	54	31	/	/	SYM
ijassa-660	54	32	sata	sata	NOUN
ijassa-660	54	33	hdd	hdd	NOUN
ijassa-660	54	34	.	.	PUNCT
ijassa-660	55	1	the	the	DET
ijassa-660	55	2	platform	platform	NOUN
ijassa-660	55	3	consists	consist	VERB
ijassa-660	55	4	of	of	ADP
ijassa-660	55	5	three	three	NUM
ijassa-660	55	6	major	major	ADJ
ijassa-660	55	7	building	building	NOUN
ijassa-660	55	8	blocks	block	NOUN
ijassa-660	55	9	:	:	PUNCT
ijassa-660	55	10	•	•	SCONJ
ijassa-660	55	11	the	the	DET
ijassa-660	55	12	pcie	pcie	NOUN
ijassa-660	55	13	fabric	fabric	NOUN
ijassa-660	55	14	controller	controller	NOUN
ijassa-660	55	15	is	be	AUX
ijassa-660	55	16	a	a	DET
ijassa-660	55	17	pci	pci	ADJ
ijassa-660	55	18	express	express	ADJ
ijassa-660	55	19	bus	bus	NOUN
ijassa-660	55	20	that	that	PRON
ijassa-660	55	21	provides	provide	VERB
ijassa-660	55	22	interconnection	interconnection	NOUN
ijassa-660	55	23	between	between	ADP
ijassa-660	55	24	storage	storage	NOUN
ijassa-660	55	25	controllers	controller	NOUN
ijassa-660	55	26	and	and	CCONJ
ijassa-660	55	27	storage	storage	NOUN
ijassa-660	55	28	media	medium	NOUN
ijassa-660	55	29	;	;	PUNCT
ijassa-660	55	30	•	•	NUM
ijassa-660	55	31	the	the	DET
ijassa-660	55	32	storage	storage	NOUN
ijassa-660	55	33	controllers	controller	NOUN
ijassa-660	55	34	,	,	PUNCT
ijassa-660	55	35	the	the	DET
ijassa-660	55	36	computer	computer	NOUN
ijassa-660	55	37	servers	server	NOUN
ijassa-660	55	38	that	that	PRON
ijassa-660	55	39	provide	provide	VERB
ijassa-660	55	40	access	access	NOUN
ijassa-660	55	41	to	to	ADP
ijassa-660	55	42	storage	storage	NOUN
ijassa-660	55	43	media	medium	NOUN
ijassa-660	55	44	to	to	PART
ijassa-660	55	45	end	end	VERB
ijassa-660	55	46	users	user	NOUN
ijassa-660	55	47	;	;	PUNCT
ijassa-660	55	48	•	•	ADP
ijassa-660	55	49	the	the	DET
ijassa-660	55	50	drive	drive	NOUN
ijassa-660	55	51	enclosures	enclosure	NOUN
ijassa-660	55	52	generally	generally	ADV
ijassa-660	55	53	known	know	VERB
ijassa-660	55	54	as	as	ADP
ijassa-660	55	55	jbods	jbod	NOUN
ijassa-660	55	56	(	(	PUNCT
ijassa-660	55	57	just	just	ADV
ijassa-660	55	58	a	a	DET
ijassa-660	55	59	bunch	bunch	NOUN
ijassa-660	55	60	of	of	ADP
ijassa-660	55	61	disks	disk	NOUN
ijassa-660	55	62	)	)	PUNCT
ijassa-660	55	63	.	.	PUNCT
ijassa-660	56	1	to	to	PART
ijassa-660	56	2	ensure	ensure	VERB
ijassa-660	56	3	data	datum	NOUN
ijassa-660	56	4	integrity	integrity	NOUN
ijassa-660	56	5	in	in	ADP
ijassa-660	56	6	tatlin	tatlin	PROPN
ijassa-660	56	7	,	,	PUNCT
ijassa-660	56	8	the	the	DET
ijassa-660	56	9	yadro	yadro	NOUN
ijassa-660	56	10	uses	use	VERB
ijassa-660	56	11	customizable	customizable	ADJ
ijassa-660	56	12	data	datum	NOUN
ijassa-660	56	13	protection	protection	NOUN
ijassa-660	56	14	technology	technology	NOUN
ijassa-660	56	15	based	base	VERB
ijassa-660	56	16	on	on	ADP
ijassa-660	56	17	reed	reed	PROPN
ijassa-660	56	18	-	-	PUNCT
ijassa-660	56	19	solomon	solomon	PROPN
ijassa-660	56	20	codes	code	NOUN
ijassa-660	56	21	with	with	ADP
ijassa-660	56	22	minimal	minimal	ADJ
ijassa-660	56	23	redundancy	redundancy	NOUN
ijassa-660	56	24	instead	instead	ADV
ijassa-660	56	25	of	of	ADP
ijassa-660	56	26	conventional	conventional	ADJ
ijassa-660	56	27	raid	raid	NOUN
ijassa-660	56	28	.	.	PUNCT
ijassa-660	57	1	however	however	ADV
ijassa-660	57	2	,	,	PUNCT
ijassa-660	57	3	writing	write	VERB
ijassa-660	57	4	data	datum	NOUN
ijassa-660	57	5	on	on	ADP
ijassa-660	57	6	disks	disk	NOUN
ijassa-660	57	7	using	use	VERB
ijassa-660	57	8	this	this	DET
ijassa-660	57	9	technology	technology	NOUN
ijassa-660	57	10	requires	require	VERB
ijassa-660	57	11	a	a	DET
ijassa-660	57	12	lot	lot	NOUN
ijassa-660	57	13	of	of	ADP
ijassa-660	57	14	computational	computational	ADJ
ijassa-660	57	15	resources	resource	NOUN
ijassa-660	57	16	and	and	CCONJ
ijassa-660	57	17	can	can	AUX
ijassa-660	57	18	take	take	VERB
ijassa-660	57	19	considerable	considerable	ADJ
ijassa-660	57	20	amount	amount	NOUN
ijassa-660	57	21	of	of	ADP
ijassa-660	57	22	time	time	NOUN
ijassa-660	57	23	.	.	PUNCT
ijassa-660	58	1	to	to	PART
ijassa-660	58	2	meet	meet	VERB
ijassa-660	58	3	this	this	DET
ijassa-660	58	4	problem	problem	NOUN
ijassa-660	58	5	and	and	CCONJ
ijassa-660	58	6	reduce	reduce	VERB
ijassa-660	58	7	cpu	cpu	NOUN
ijassa-660	58	8	load	load	NOUN
ijassa-660	58	9	the	the	DET
ijassa-660	58	10	yadro	yadro	NOUN
ijassa-660	58	11	proposed	propose	VERB
ijassa-660	58	12	a	a	DET
ijassa-660	58	13	concept	concept	NOUN
ijassa-660	58	14	of	of	ADP
ijassa-660	58	15	hardware	hardware	NOUN
ijassa-660	58	16	deduplication	deduplication	NOUN
ijassa-660	58	17	acceleration	acceleration	NOUN
ijassa-660	58	18	with	with	ADP
ijassa-660	58	19	nonvolatile	nonvolatile	ADJ
ijassa-660	58	20	cache	cache	NOUN
ijassa-660	58	21	(	(	PUNCT
ijassa-660	58	22	nvram	nvram	NOUN
ijassa-660	58	23	)	)	PUNCT
ijassa-660	58	24	built	build	VERB
ijassa-660	58	25	into	into	ADP
ijassa-660	58	26	the	the	DET
ijassa-660	58	27	storage	storage	NOUN
ijassa-660	58	28	controllers	controller	NOUN
ijassa-660	58	29	.	.	PUNCT
ijassa-660	59	1	3.2	3.2	NUM
ijassa-660	59	2	.	.	PUNCT
ijassa-660	59	3	description	description	NOUN
ijassa-660	59	4	of	of	ADP
ijassa-660	59	5	the	the	DET
ijassa-660	59	6	simulator	simulator	NOUN
ijassa-660	59	7	the	the	DET
ijassa-660	59	8	gotatlin	gotatlin	NOUN
ijassa-660	59	9	framework	framework	NOUN
ijassa-660	59	10	(	(	PUNCT
ijassa-660	59	11	figure	figure	NOUN
ijassa-660	59	12	3.2	3.2	NUM
ijassa-660	59	13	)	)	PUNCT
ijassa-660	59	14	is	be	AUX
ijassa-660	59	15	designed	design	VERB
ijassa-660	59	16	to	to	PART
ijassa-660	59	17	simulate	simulate	VERB
ijassa-660	59	18	the	the	DET
ijassa-660	59	19	tatlin	tatlin	ADJ
ijassa-660	59	20	distributed	distribute	VERB
ijassa-660	59	21	storage	storage	NOUN
ijassa-660	59	22	system	system	NOUN
ijassa-660	59	23	.	.	PUNCT
ijassa-660	60	1	it	it	PRON
ijassa-660	60	2	has	have	AUX
ijassa-660	60	3	been	be	AUX
ijassa-660	60	4	implemented	implement	VERB
ijassa-660	60	5	using	use	VERB
ijassa-660	60	6	the	the	DET
ijassa-660	60	7	go	go	NOUN
ijassa-660	60	8	programming	programming	NOUN
ijassa-660	60	9	language	language	NOUN
ijassa-660	60	10	[	[	X
ijassa-660	60	11	17	17	NUM
ijassa-660	60	12	]	]	PUNCT
ijassa-660	60	13	.	.	PUNCT
ijassa-660	61	1	the	the	DET
ijassa-660	61	2	storage	storage	NOUN
ijassa-660	61	3	system	system	NOUN
ijassa-660	61	4	simulation	simulation	NOUN
ijassa-660	61	5	is	be	AUX
ijassa-660	61	6	based	base	VERB
ijassa-660	61	7	on	on	ADP
ijassa-660	61	8	a	a	DET
ijassa-660	61	9	discrete	discrete	ADJ
ijassa-660	61	10	-	-	PUNCT
ijassa-660	61	11	event	event	NOUN
ijassa-660	61	12	simulation	simulation	NOUN
ijassa-660	61	13	model	model	NOUN
ijassa-660	61	14	where	where	SCONJ
ijassa-660	61	15	the	the	DET
ijassa-660	61	16	system	system	NOUN
ijassa-660	61	17	’s	’s	PART
ijassa-660	61	18	evolution	evolution	NOUN
ijassa-660	61	19	in	in	ADP
ijassa-660	61	20	time	time	NOUN
ijassa-660	61	21	is	be	AUX
ijassa-660	61	22	presented	present	VERB
ijassa-660	61	23	by	by	ADP
ijassa-660	61	24	a	a	DET
ijassa-660	61	25	discrete	discrete	ADJ
ijassa-660	61	26	sequence	sequence	NOUN
ijassa-660	61	27	of	of	ADP
ijassa-660	61	28	changes	change	NOUN
ijassa-660	61	29	in	in	ADP
ijassa-660	61	30	its	its	PRON
ijassa-660	61	31	state	state	NOUN
ijassa-660	61	32	.	.	PUNCT
ijassa-660	62	1	each	each	DET
ijassa-660	62	2	change	change	NOUN
ijassa-660	62	3	in	in	ADP
ijassa-660	62	4	the	the	DET
ijassa-660	62	5	system	system	NOUN
ijassa-660	62	6	state	state	NOUN
ijassa-660	62	7	occurs	occur	VERB
ijassa-660	62	8	at	at	ADP
ijassa-660	62	9	a	a	DET
ijassa-660	62	10	distinct	distinct	ADJ
ijassa-660	62	11	point	point	NOUN
ijassa-660	62	12	of	of	ADP
ijassa-660	62	13	time	time	NOUN
ijassa-660	62	14	due	due	ADP
ijassa-660	62	15	to	to	ADP
ijassa-660	62	16	some	some	DET
ijassa-660	62	17	triggering	trigger	VERB
ijassa-660	62	18	event	event	NOUN
ijassa-660	62	19	.	.	PUNCT
ijassa-660	63	1	3.3	3.3	NUM
ijassa-660	63	2	.	.	PUNCT
ijassa-660	64	1	output	output	NOUN
ijassa-660	64	2	data	datum	NOUN
ijassa-660	64	3	of	of	ADP
ijassa-660	64	4	the	the	DET
ijassa-660	64	5	simulator	simulator	NOUN
ijassa-660	64	6	we	we	PRON
ijassa-660	64	7	construct	construct	VERB
ijassa-660	64	8	a	a	DET
ijassa-660	64	9	vector	vector	NOUN
ijassa-660	64	10	of	of	ADP
ijassa-660	64	11	features	feature	NOUN
ijassa-660	64	12	from	from	ADP
ijassa-660	64	13	the	the	DET
ijassa-660	64	14	output	output	NOUN
ijassa-660	64	15	of	of	ADP
ijassa-660	64	16	the	the	DET
ijassa-660	64	17	simulator	simulator	NOUN
ijassa-660	64	18	.	.	PUNCT
ijassa-660	65	1	the	the	DET
ijassa-660	65	2	features	feature	NOUN
ijassa-660	65	3	are	be	AUX
ijassa-660	65	4	summarized	summarize	VERB
ijassa-660	65	5	below	below	ADP
ijassa-660	65	6	.	.	PUNCT
ijassa-660	66	1	•	•	NOUN
ijassa-660	66	2	storage	storage	NOUN
ijassa-660	66	3	controllers	controller	NOUN
ijassa-660	66	4	features	feature	VERB
ijassa-660	66	5	:	:	PUNCT
ijassa-660	66	6	–	–	PUNCT
ijassa-660	66	7	traffic	traffic	NOUN
ijassa-660	67	1	[	[	X
ijassa-660	67	2	gbs−1	gbs−1	X
ijassa-660	67	3	]	]	X
ijassa-660	67	4	;	;	PUNCT
ijassa-660	67	5	–	–	PUNCT
ijassa-660	67	6	load	load	NOUN
ijassa-660	68	1	[	[	X
ijassa-660	68	2	%	%	X
ijassa-660	68	3	]	]	X
ijassa-660	68	4	;	;	PUNCT
ijassa-660	68	5	•	•	NUM
ijassa-660	68	6	storage	storage	NOUN
ijassa-660	68	7	media	medium	NOUN
ijassa-660	68	8	features	feature	NOUN
ijassa-660	68	9	:	:	PUNCT
ijassa-660	68	10	–	–	PUNCT
ijassa-660	68	11	used	use	VERB
ijassa-660	68	12	space	space	NOUN
ijassa-660	68	13	[	[	X
ijassa-660	68	14	gb	gb	X
ijassa-660	68	15	]	]	X
ijassa-660	68	16	;	;	PUNCT
ijassa-660	68	17	–	–	PUNCT
ijassa-660	68	18	average	average	ADJ
ijassa-660	68	19	read	read	NOUN
ijassa-660	68	20	/	/	SYM
ijassa-660	68	21	write	write	VERB
ijassa-660	68	22	speed	speed	NOUN
ijassa-660	68	23	[	[	X
ijassa-660	68	24	gbs−1	gbs−1	X
ijassa-660	68	25	]	]	X
ijassa-660	68	26	;	;	PUNCT
ijassa-660	68	27	•	•	X
ijassa-660	68	28	general	general	ADJ
ijassa-660	68	29	tatlin	tatlin	NOUN
ijassa-660	68	30	features	feature	VERB
ijassa-660	68	31	:	:	PUNCT
ijassa-660	68	32	copyright	copyright	NOUN
ijassa-660	68	33	c	c	ADP
ijassa-660	68	34	©	©	PROPN
ijassa-660	68	35	2018	2018	NUM
ijassa-660	68	36	assa	assa	NOUN
ijassa-660	68	37	.	.	PUNCT
ijassa-660	69	1	adv	adv	PROPN
ijassa-660	69	2	syst	syst	PROPN
ijassa-660	69	3	sci	sci	PROPN
ijassa-660	69	4	appl	appl	PROPN
ijassa-660	69	5	(	(	PUNCT
ijassa-660	69	6	2018	2018	NUM
ijassa-660	69	7	)	)	PUNCT
ijassa-660	69	8	4	4	NUM
ijassa-660	69	9	v.	v.	ADP
ijassa-660	69	10	belavin	belavin	PROPN
ijassa-660	69	11	et	et	PROPN
ijassa-660	69	12	al	al	PROPN
ijassa-660	69	13	.	.	PROPN
ijassa-660	69	14	fig	fig	PROPN
ijassa-660	69	15	.	.	PUNCT
ijassa-660	70	1	3.1	3.1	NUM
ijassa-660	70	2	.	.	PUNCT
ijassa-660	70	3	dss	dss	PROPN
ijassa-660	70	4	tatlin	tatlin	PROPN
ijassa-660	70	5	.	.	PUNCT
ijassa-660	71	1	fig	fig	NOUN
ijassa-660	71	2	.	.	PUNCT
ijassa-660	72	1	3.2	3.2	NUM
ijassa-660	72	2	.	.	PUNCT
ijassa-660	72	3	gotatlin	gotatlin	NOUN
ijassa-660	72	4	architecture	architecture	NOUN
ijassa-660	72	5	view	view	NOUN
ijassa-660	72	6	.	.	PUNCT
ijassa-660	73	1	–	–	PUNCT
ijassa-660	73	2	amount	amount	NOUN
ijassa-660	73	3	of	of	ADP
ijassa-660	73	4	data	datum	NOUN
ijassa-660	73	5	transferred	transfer	VERB
ijassa-660	73	6	in	in	ADP
ijassa-660	73	7	read	read	NOUN
ijassa-660	73	8	/	/	SYM
ijassa-660	73	9	write	write	ADJ
ijassa-660	73	10	mode	mode	NOUN
ijassa-660	73	11	[	[	X
ijassa-660	73	12	gb	gb	X
ijassa-660	73	13	]	]	X
ijassa-660	73	14	;	;	PUNCT
ijassa-660	73	15	–	–	PUNCT
ijassa-660	73	16	number	number	NOUN
ijassa-660	73	17	of	of	ADP
ijassa-660	73	18	read	read	NOUN
ijassa-660	73	19	/	/	SYM
ijassa-660	73	20	write	write	VERB
ijassa-660	73	21	requests	request	NOUN
ijassa-660	73	22	per	per	ADP
ijassa-660	73	23	unit	unit	NOUN
ijassa-660	73	24	of	of	ADP
ijassa-660	73	25	time	time	NOUN
ijassa-660	73	26	[	[	X
ijassa-660	73	27	ms−1	ms−1	NOUN
ijassa-660	73	28	]	]	X
ijassa-660	73	29	;	;	PUNCT
ijassa-660	73	30	–	–	PUNCT
ijassa-660	73	31	read	read	VERB
ijassa-660	73	32	/	/	SYM
ijassa-660	73	33	write	write	NOUN
ijassa-660	73	34	requests	request	NOUN
ijassa-660	73	35	response	response	NOUN
ijassa-660	73	36	time	time	NOUN
ijassa-660	73	37	[	[	X
ijassa-660	73	38	ms	ms	X
ijassa-660	73	39	]	]	X
ijassa-660	73	40	;	;	PUNCT
ijassa-660	73	41	–	–	PUNCT
ijassa-660	73	42	read	read	VERB
ijassa-660	73	43	/	/	SYM
ijassa-660	73	44	write	write	NOUN
ijassa-660	73	45	requests	request	NOUN
ijassa-660	73	46	processing	processing	NOUN
ijassa-660	73	47	time	time	NOUN
ijassa-660	74	1	[	[	X
ijassa-660	74	2	ms	ms	X
ijassa-660	74	3	]	]	X
ijassa-660	74	4	;	;	PUNCT
ijassa-660	74	5	3.4	3.4	NUM
ijassa-660	74	6	.	.	PUNCT
ijassa-660	74	7	control	control	NOUN
ijassa-660	74	8	parameters	parameter	NOUN
ijassa-660	74	9	a	a	DET
ijassa-660	74	10	full	full	ADJ
ijassa-660	74	11	list	list	NOUN
ijassa-660	74	12	of	of	ADP
ijassa-660	74	13	the	the	DET
ijassa-660	74	14	control	control	NOUN
ijassa-660	74	15	parameters	parameter	NOUN
ijassa-660	74	16	of	of	ADP
ijassa-660	74	17	the	the	DET
ijassa-660	74	18	simulator	simulator	NOUN
ijassa-660	74	19	is	be	AUX
ijassa-660	74	20	the	the	DET
ijassa-660	74	21	following	follow	VERB
ijassa-660	74	22	:	:	PUNCT
ijassa-660	74	23	•	•	NUM
ijassa-660	74	24	storage	storage	NOUN
ijassa-660	74	25	media	medium	NOUN
ijassa-660	74	26	:	:	PUNCT
ijassa-660	74	27	–	–	PUNCT
ijassa-660	74	28	read	read	VERB
ijassa-660	74	29	–	–	PUNCT
ijassa-660	74	30	read	read	VERB
ijassa-660	74	31	speed	speed	NOUN
ijassa-660	74	32	[	[	X
ijassa-660	74	33	gbs−1	gbs−1	X
ijassa-660	74	34	]	]	X
ijassa-660	74	35	;	;	PUNCT
ijassa-660	74	36	–	–	PUNCT
ijassa-660	74	37	write	write	VERB
ijassa-660	74	38	–	–	PUNCT
ijassa-660	74	39	write	write	VERB
ijassa-660	74	40	speed	speed	NOUN
ijassa-660	74	41	[	[	X
ijassa-660	74	42	gbs−1	gbs−1	X
ijassa-660	74	43	]	]	X
ijassa-660	74	44	;	;	PUNCT
ijassa-660	74	45	•	•	NUM
ijassa-660	74	46	drive	drive	NOUN
ijassa-660	74	47	enclosures	enclosure	NOUN
ijassa-660	74	48	:	:	PUNCT
ijassa-660	74	49	–	–	PUNCT
ijassa-660	74	50	speed	speed	NOUN
ijassa-660	74	51	–	–	PUNCT
ijassa-660	74	52	computational	computational	ADJ
ijassa-660	74	53	power	power	NOUN
ijassa-660	74	54	[	[	X
ijassa-660	74	55	gflops	gflop	NOUN
ijassa-660	74	56	]	]	X
ijassa-660	74	57	;	;	PUNCT
ijassa-660	74	58	•	•	NUM
ijassa-660	74	59	storage	storage	NOUN
ijassa-660	74	60	controllers	controller	NOUN
ijassa-660	74	61	:	:	PUNCT
ijassa-660	74	62	–	–	PUNCT
ijassa-660	74	63	speed	speed	NOUN
ijassa-660	74	64	–	–	PUNCT
ijassa-660	74	65	computational	computational	ADJ
ijassa-660	74	66	power	power	NOUN
ijassa-660	74	67	[	[	X
ijassa-660	74	68	gflops	gflop	NOUN
ijassa-660	74	69	]	]	X
ijassa-660	74	70	;	;	PUNCT
ijassa-660	74	71	•	•	NUM
ijassa-660	74	72	pcie	pcie	NOUN
ijassa-660	74	73	fabric	fabric	NOUN
ijassa-660	74	74	controller	controller	NOUN
ijassa-660	74	75	:	:	PUNCT
ijassa-660	74	76	copyright	copyright	NOUN
ijassa-660	74	77	c	c	ADP
ijassa-660	74	78	©	©	PROPN
ijassa-660	74	79	2018	2018	NUM
ijassa-660	74	80	assa	assa	NOUN
ijassa-660	74	81	.	.	PUNCT
ijassa-660	75	1	adv	adv	PROPN
ijassa-660	75	2	syst	syst	PROPN
ijassa-660	75	3	sci	sci	PROPN
ijassa-660	75	4	appl	appl	PROPN
ijassa-660	75	5	(	(	PUNCT
ijassa-660	75	6	2018	2018	NUM
ijassa-660	75	7	)	)	PUNCT
ijassa-660	75	8	tuning	tune	VERB
ijassa-660	75	9	dss	dss	NOUN
ijassa-660	75	10	digital	digital	ADJ
ijassa-660	75	11	twins	twin	NOUN
ijassa-660	75	12	with	with	ADP
ijassa-660	75	13	rl	rl	PROPN
ijassa-660	75	14	5	5	NUM
ijassa-660	75	15	–	–	PUNCT
ijassa-660	75	16	speed	speed	NOUN
ijassa-660	75	17	–	–	PUNCT
ijassa-660	75	18	computational	computational	ADJ
ijassa-660	75	19	power	power	NOUN
ijassa-660	75	20	[	[	X
ijassa-660	75	21	gflops	gflop	NOUN
ijassa-660	75	22	]	]	X
ijassa-660	75	23	;	;	PUNCT
ijassa-660	75	24	•	•	NUM
ijassa-660	75	25	physical	physical	ADJ
ijassa-660	75	26	network	network	NOUN
ijassa-660	75	27	links	link	NOUN
ijassa-660	75	28	:	:	PUNCT
ijassa-660	75	29	–	–	PUNCT
ijassa-660	75	30	bandwidth	bandwidth	NOUN
ijassa-660	75	31	[	[	X
ijassa-660	75	32	gbs−1	gbs−1	X
ijassa-660	75	33	]	]	X
ijassa-660	75	34	;	;	PUNCT
ijassa-660	75	35	–	–	PUNCT
ijassa-660	75	36	latency	latency	NOUN
ijassa-660	75	37	[	[	X
ijassa-660	75	38	ms−1	ms−1	NOUN
ijassa-660	75	39	]	]	PUNCT
ijassa-660	75	40	.	.	PUNCT
ijassa-660	76	1	as	as	SCONJ
ijassa-660	76	2	one	one	PRON
ijassa-660	76	3	might	might	AUX
ijassa-660	76	4	imagine	imagine	VERB
ijassa-660	76	5	,	,	PUNCT
ijassa-660	76	6	the	the	DET
ijassa-660	76	7	real	real	ADJ
ijassa-660	76	8	system	system	NOUN
ijassa-660	76	9	should	should	AUX
ijassa-660	76	10	have	have	VERB
ijassa-660	76	11	much	much	ADV
ijassa-660	76	12	more	more	ADJ
ijassa-660	76	13	parameters	parameter	NOUN
ijassa-660	76	14	,	,	PUNCT
ijassa-660	76	15	which	which	PRON
ijassa-660	76	16	represent	represent	VERB
ijassa-660	76	17	the	the	DET
ijassa-660	76	18	system	system	NOUN
ijassa-660	76	19	’s	’s	PART
ijassa-660	76	20	behaviour	behaviour	NOUN
ijassa-660	76	21	(	(	PUNCT
ijassa-660	76	22	l1	l1	PROPN
ijassa-660	76	23	/	/	SYM
ijassa-660	76	24	l2	l2	NOUN
ijassa-660	76	25	cache	cache	NOUN
ijassa-660	76	26	sizes	size	NOUN
ijassa-660	76	27	,	,	PUNCT
ijassa-660	76	28	ram	ram	NOUN
ijassa-660	76	29	parameters	parameter	NOUN
ijassa-660	76	30	,	,	PUNCT
ijassa-660	76	31	etc	etc	X
ijassa-660	76	32	.	.	X
ijassa-660	76	33	)	)	PUNCT
ijassa-660	76	34	,	,	PUNCT
ijassa-660	76	35	than	than	SCONJ
ijassa-660	76	36	the	the	DET
ijassa-660	76	37	simulated	simulate	VERB
ijassa-660	76	38	one	one	NOUN
ijassa-660	76	39	has	have	VERB
ijassa-660	76	40	.	.	PUNCT
ijassa-660	77	1	but	but	CCONJ
ijassa-660	77	2	we	we	PRON
ijassa-660	77	3	intentionally	intentionally	ADV
ijassa-660	77	4	reduced	reduce	VERB
ijassa-660	77	5	the	the	DET
ijassa-660	77	6	number	number	NOUN
ijassa-660	77	7	of	of	ADP
ijassa-660	77	8	parameters	parameter	NOUN
ijassa-660	77	9	implying	imply	VERB
ijassa-660	77	10	that	that	SCONJ
ijassa-660	77	11	these	these	DET
ijassa-660	77	12	variables	variable	NOUN
ijassa-660	77	13	represent	represent	VERB
ijassa-660	77	14	most	most	ADJ
ijassa-660	77	15	‘	'	PUNCT
ijassa-660	77	16	effectively	effectively	ADV
ijassa-660	77	17	’	'	PUNCT
ijassa-660	77	18	the	the	DET
ijassa-660	77	19	real	real	ADJ
ijassa-660	77	20	system	system	NOUN
ijassa-660	77	21	.	.	PUNCT
ijassa-660	78	1	on	on	ADP
ijassa-660	78	2	the	the	DET
ijassa-660	78	3	one	one	NUM
ijassa-660	78	4	hand	hand	NOUN
ijassa-660	78	5	,	,	PUNCT
ijassa-660	78	6	changing	change	VERB
ijassa-660	78	7	those	those	DET
ijassa-660	78	8	parameters	parameter	NOUN
ijassa-660	78	9	helps	help	VERB
ijassa-660	78	10	to	to	PART
ijassa-660	78	11	relax	relax	VERB
ijassa-660	78	12	rigidity	rigidity	NOUN
ijassa-660	78	13	of	of	ADP
ijassa-660	78	14	the	the	DET
ijassa-660	78	15	simulator	simulator	NOUN
ijassa-660	78	16	,	,	PUNCT
ijassa-660	78	17	and	and	CCONJ
ijassa-660	78	18	on	on	ADP
ijassa-660	78	19	the	the	DET
ijassa-660	78	20	other	other	ADJ
ijassa-660	78	21	hand	hand	NOUN
ijassa-660	78	22	,	,	PUNCT
ijassa-660	78	23	these	these	DET
ijassa-660	78	24	effective	effective	ADJ
ijassa-660	78	25	parameters	parameter	NOUN
ijassa-660	78	26	ca	can	AUX
ijassa-660	78	27	n’t	not	PART
ijassa-660	78	28	be	be	AUX
ijassa-660	78	29	derived	derive	VERB
ijassa-660	78	30	from	from	ADP
ijassa-660	78	31	the	the	DET
ijassa-660	78	32	physical	physical	ADJ
ijassa-660	78	33	system	system	NOUN
ijassa-660	78	34	and	and	CCONJ
ijassa-660	78	35	should	should	AUX
ijassa-660	78	36	be	be	AUX
ijassa-660	78	37	calibrated	calibrate	VERB
ijassa-660	78	38	by	by	ADP
ijassa-660	78	39	the	the	DET
ijassa-660	78	40	algorithm	algorithm	NOUN
ijassa-660	78	41	explained	explain	VERB
ijassa-660	78	42	in	in	ADP
ijassa-660	78	43	the	the	DET
ijassa-660	78	44	following	follow	VERB
ijassa-660	78	45	chapter	chapter	NOUN
ijassa-660	78	46	.	.	PUNCT
ijassa-660	79	1	in	in	ADP
ijassa-660	79	2	the	the	DET
ijassa-660	79	3	rest	rest	NOUN
ijassa-660	79	4	of	of	ADP
ijassa-660	79	5	the	the	DET
ijassa-660	79	6	paper	paper	NOUN
ijassa-660	79	7	,	,	PUNCT
ijassa-660	79	8	we	we	PRON
ijassa-660	79	9	control	control	VERB
ijassa-660	79	10	those	those	DET
ijassa-660	79	11	effective	effective	ADJ
ijassa-660	79	12	parameters	parameter	NOUN
ijassa-660	79	13	unless	unless	SCONJ
ijassa-660	79	14	stated	state	VERB
ijassa-660	79	15	otherwise	otherwise	ADV
ijassa-660	79	16	.	.	PUNCT
ijassa-660	80	1	4	4	X
ijassa-660	80	2	.	.	X
ijassa-660	80	3	control	control	NOUN
ijassa-660	80	4	system	system	NOUN
ijassa-660	80	5	the	the	DET
ijassa-660	80	6	core	core	ADJ
ijassa-660	80	7	part	part	NOUN
ijassa-660	80	8	of	of	ADP
ijassa-660	80	9	the	the	DET
ijassa-660	80	10	control	control	NOUN
ijassa-660	80	11	system	system	NOUN
ijassa-660	80	12	is	be	AUX
ijassa-660	80	13	a	a	DET
ijassa-660	80	14	neural	neural	ADJ
ijassa-660	80	15	network	network	NOUN
ijassa-660	80	16	which	which	PRON
ijassa-660	80	17	analyses	analyse	VERB
ijassa-660	80	18	the	the	DET
ijassa-660	80	19	output	output	NOUN
ijassa-660	80	20	of	of	ADP
ijassa-660	80	21	the	the	DET
ijassa-660	80	22	simulator	simulator	NOUN
ijassa-660	80	23	at	at	ADP
ijassa-660	80	24	the	the	DET
ijassa-660	80	25	time	time	NOUN
ijassa-660	80	26	t	t	NOUN
ijassa-660	80	27	and	and	CCONJ
ijassa-660	80	28	generates	generate	VERB
ijassa-660	80	29	a	a	DET
ijassa-660	80	30	new	new	ADJ
ijassa-660	80	31	set	set	NOUN
ijassa-660	80	32	of	of	ADP
ijassa-660	80	33	control	control	NOUN
ijassa-660	80	34	parameters	parameter	NOUN
ijassa-660	80	35	that	that	PRON
ijassa-660	80	36	will	will	AUX
ijassa-660	80	37	be	be	AUX
ijassa-660	80	38	used	use	VERB
ijassa-660	80	39	for	for	ADP
ijassa-660	80	40	simulation	simulation	NOUN
ijassa-660	80	41	until	until	ADP
ijassa-660	80	42	next	next	ADJ
ijassa-660	80	43	moment	moment	NOUN
ijassa-660	80	44	of	of	ADP
ijassa-660	80	45	time	time	NOUN
ijassa-660	80	46	t+	t+	VERB
ijassa-660	80	47	∆t	∆t	NOUN
ijassa-660	80	48	.	.	PUNCT
ijassa-660	80	49	∆t	∆t	PROPN
ijassa-660	80	50	is	be	AUX
ijassa-660	80	51	an	an	DET
ijassa-660	80	52	external	external	ADJ
ijassa-660	80	53	parameter	parameter	NOUN
ijassa-660	80	54	of	of	ADP
ijassa-660	80	55	the	the	DET
ijassa-660	80	56	simulator	simulator	NOUN
ijassa-660	80	57	fixed	fix	VERB
ijassa-660	80	58	a	a	DET
ijassa-660	80	59	priori	priori	ADV
ijassa-660	80	60	.	.	PUNCT
ijassa-660	81	1	it	it	PRON
ijassa-660	81	2	should	should	AUX
ijassa-660	81	3	be	be	AUX
ijassa-660	81	4	noted	note	VERB
ijassa-660	81	5	that	that	SCONJ
ijassa-660	81	6	∆t	∆t	PROPN
ijassa-660	81	7	is	be	AUX
ijassa-660	81	8	a	a	DET
ijassa-660	81	9	hyper	hyper	NOUN
ijassa-660	81	10	-	-	NOUN
ijassa-660	81	11	parameter	parameter	NOUN
ijassa-660	81	12	of	of	ADP
ijassa-660	81	13	the	the	DET
ijassa-660	81	14	simulation	simulation	NOUN
ijassa-660	81	15	control	control	NOUN
ijassa-660	81	16	system	system	NOUN
ijassa-660	81	17	and	and	CCONJ
ijassa-660	81	18	can	can	AUX
ijassa-660	81	19	be	be	AUX
ijassa-660	81	20	chosen	choose	VERB
ijassa-660	81	21	arbitrarily	arbitrarily	ADV
ijassa-660	81	22	.	.	PUNCT
ijassa-660	82	1	we	we	PRON
ijassa-660	82	2	set	set	VERB
ijassa-660	82	3	∆t	∆t	PROPN
ijassa-660	82	4	to	to	ADP
ijassa-660	82	5	3s	3s	NUM
ijassa-660	82	6	a	a	PRON
ijassa-660	82	7	priori	priori	ADV
ijassa-660	82	8	because	because	SCONJ
ijassa-660	82	9	in	in	ADP
ijassa-660	82	10	the	the	DET
ijassa-660	82	11	real	real	ADJ
ijassa-660	82	12	tatlin	tatlin	NOUN
ijassa-660	82	13	we	we	PRON
ijassa-660	82	14	are	be	AUX
ijassa-660	82	15	expecting	expect	VERB
ijassa-660	82	16	the	the	DET
ijassa-660	82	17	delay	delay	NOUN
ijassa-660	82	18	between	between	ADP
ijassa-660	82	19	successive	successive	ADJ
ijassa-660	82	20	log	log	NOUN
ijassa-660	82	21	outputs	output	NOUN
ijassa-660	82	22	to	to	PART
ijassa-660	82	23	be	be	AUX
ijassa-660	82	24	approximately	approximately	ADV
ijassa-660	82	25	1−	1−	NUM
ijassa-660	82	26	10s	10	NOUN
ijassa-660	82	27	.	.	PUNCT
ijassa-660	83	1	general	general	ADJ
ijassa-660	83	2	outlines	outline	NOUN
ijassa-660	83	3	of	of	ADP
ijassa-660	83	4	the	the	DET
ijassa-660	83	5	simulation	simulation	NOUN
ijassa-660	83	6	and	and	CCONJ
ijassa-660	83	7	training	training	NOUN
ijassa-660	83	8	pipelines	pipeline	NOUN
ijassa-660	83	9	are	be	AUX
ijassa-660	83	10	presented	present	VERB
ijassa-660	83	11	at	at	ADP
ijassa-660	83	12	the	the	DET
ijassa-660	83	13	figures	figure	NOUN
ijassa-660	83	14	4.3a	4.3a	NUM
ijassa-660	83	15	and	and	CCONJ
ijassa-660	83	16	4.3b	4.3b	NUM
ijassa-660	83	17	respectively	respectively	ADV
ijassa-660	83	18	.	.	PUNCT
ijassa-660	84	1	4.1	4.1	NUM
ijassa-660	84	2	.	.	PUNCT
ijassa-660	84	3	reinforcement	reinforcement	NOUN
ijassa-660	84	4	learning	learning	NOUN
ijassa-660	84	5	in	in	ADP
ijassa-660	84	6	reinforcement	reinforcement	NOUN
ijassa-660	84	7	learning	learning	NOUN
ijassa-660	84	8	[	[	X
ijassa-660	84	9	18	18	NUM
ijassa-660	84	10	]	]	PUNCT
ijassa-660	84	11	the	the	DET
ijassa-660	84	12	following	follow	VERB
ijassa-660	84	13	terminology	terminology	NOUN
ijassa-660	84	14	is	be	AUX
ijassa-660	84	15	commonly	commonly	ADV
ijassa-660	84	16	used	use	VERB
ijassa-660	84	17	:	:	PUNCT
ijassa-660	84	18	•	•	NUM
ijassa-660	84	19	environment	environment	NOUN
ijassa-660	84	20	(	(	PUNCT
ijassa-660	84	21	st	st	NOUN
ijassa-660	84	22	)	)	PUNCT
ijassa-660	84	23	is	be	AUX
ijassa-660	84	24	an	an	DET
ijassa-660	84	25	observed	observed	ADJ
ijassa-660	84	26	system	system	NOUN
ijassa-660	84	27	(	(	PUNCT
ijassa-660	84	28	in	in	ADP
ijassa-660	84	29	our	our	PRON
ijassa-660	84	30	case	case	NOUN
ijassa-660	84	31	,	,	PUNCT
ijassa-660	84	32	the	the	DET
ijassa-660	84	33	system	system	NOUN
ijassa-660	84	34	is	be	AUX
ijassa-660	84	35	a	a	DET
ijassa-660	84	36	simulator	simulator	NOUN
ijassa-660	84	37	)	)	PUNCT
ijassa-660	84	38	;	;	PUNCT
ijassa-660	84	39	•	•	NUM
ijassa-660	84	40	state	state	NOUN
ijassa-660	84	41	is	be	AUX
ijassa-660	84	42	a	a	DET
ijassa-660	84	43	current	current	ADJ
ijassa-660	84	44	status	status	NOUN
ijassa-660	84	45	of	of	ADP
ijassa-660	84	46	the	the	DET
ijassa-660	84	47	simulation	simulation	NOUN
ijassa-660	84	48	represented	represent	VERB
ijassa-660	84	49	by	by	ADP
ijassa-660	84	50	output	output	NOUN
ijassa-660	84	51	data	datum	NOUN
ijassa-660	84	52	;	;	PUNCT
ijassa-660	84	53	•	•	NUM
ijassa-660	84	54	goal	goal	NOUN
ijassa-660	84	55	is	be	AUX
ijassa-660	84	56	a	a	DET
ijassa-660	84	57	desired	desire	VERB
ijassa-660	84	58	state	state	NOUN
ijassa-660	84	59	of	of	ADP
ijassa-660	84	60	the	the	DET
ijassa-660	84	61	simulation	simulation	NOUN
ijassa-660	84	62	;	;	PUNCT
ijassa-660	84	63	•	•	NUM
ijassa-660	84	64	agent	agent	NOUN
ijassa-660	84	65	is	be	AUX
ijassa-660	84	66	a	a	DET
ijassa-660	84	67	system	system	NOUN
ijassa-660	84	68	that	that	PRON
ijassa-660	84	69	takes	take	VERB
ijassa-660	84	70	actions	action	NOUN
ijassa-660	84	71	(	(	PUNCT
ijassa-660	84	72	at	at	ADP
ijassa-660	84	73	)	)	PUNCT
ijassa-660	84	74	in	in	ADP
ijassa-660	84	75	the	the	DET
ijassa-660	84	76	environment	environment	NOUN
ijassa-660	84	77	and	and	CCONJ
ijassa-660	84	78	changes	change	VERB
ijassa-660	84	79	its	its	PRON
ijassa-660	84	80	state	state	NOUN
ijassa-660	84	81	;	;	PUNCT
ijassa-660	84	82	•	•	NUM
ijassa-660	84	83	reward	reward	NOUN
ijassa-660	84	84	(	(	PUNCT
ijassa-660	84	85	rt	rt	NOUN
ijassa-660	84	86	)	)	PUNCT
ijassa-660	84	87	is	be	AUX
ijassa-660	84	88	a	a	DET
ijassa-660	84	89	scalar	scalar	ADJ
ijassa-660	84	90	value	value	NOUN
ijassa-660	84	91	that	that	PRON
ijassa-660	84	92	shows	show	VERB
ijassa-660	84	93	how	how	SCONJ
ijassa-660	84	94	close	close	ADJ
ijassa-660	84	95	is	be	AUX
ijassa-660	84	96	our	our	PRON
ijassa-660	84	97	system	system	NOUN
ijassa-660	84	98	’s	’s	PART
ijassa-660	84	99	state	state	NOUN
ijassa-660	84	100	to	to	ADP
ijassa-660	84	101	the	the	DET
ijassa-660	84	102	goal	goal	NOUN
ijassa-660	84	103	state	state	NOUN
ijassa-660	84	104	.	.	PUNCT
ijassa-660	85	1	in	in	ADP
ijassa-660	85	2	our	our	PRON
ijassa-660	85	3	case	case	NOUN
ijassa-660	85	4	,	,	PUNCT
ijassa-660	85	5	goal	goal	NOUN
ijassa-660	85	6	state	state	NOUN
ijassa-660	85	7	of	of	ADP
ijassa-660	85	8	the	the	DET
ijassa-660	85	9	simulator	simulator	NOUN
ijassa-660	85	10	is	be	AUX
ijassa-660	85	11	a	a	DET
ijassa-660	85	12	state	state	NOUN
ijassa-660	85	13	in	in	ADP
ijassa-660	85	14	which	which	PRON
ijassa-660	85	15	its	its	PRON
ijassa-660	85	16	output	output	NOUN
ijassa-660	85	17	fully	fully	ADV
ijassa-660	85	18	resembles	resemble	VERB
ijassa-660	85	19	the	the	DET
ijassa-660	85	20	real	real	ADJ
ijassa-660	85	21	storage	storage	NOUN
ijassa-660	85	22	system	system	NOUN
ijassa-660	85	23	’s	’s	PART
ijassa-660	85	24	output	output	NOUN
ijassa-660	85	25	.	.	PUNCT
ijassa-660	86	1	we	we	PRON
ijassa-660	86	2	will	will	AUX
ijassa-660	86	3	discuss	discuss	VERB
ijassa-660	86	4	the	the	DET
ijassa-660	86	5	construction	construction	NOUN
ijassa-660	86	6	of	of	ADP
ijassa-660	86	7	the	the	DET
ijassa-660	86	8	reward	reward	NOUN
ijassa-660	86	9	function	function	NOUN
ijassa-660	86	10	in	in	ADP
ijassa-660	86	11	more	more	ADJ
ijassa-660	86	12	details	detail	NOUN
ijassa-660	86	13	in	in	ADP
ijassa-660	86	14	section	section	NOUN
ijassa-660	86	15	4.2	4.2	NUM
ijassa-660	86	16	.	.	PUNCT
ijassa-660	87	1	the	the	DET
ijassa-660	87	2	most	most	ADV
ijassa-660	87	3	common	common	ADJ
ijassa-660	87	4	approach	approach	NOUN
ijassa-660	87	5	is	be	AUX
ijassa-660	87	6	to	to	PART
ijassa-660	87	7	assume	assume	VERB
ijassa-660	87	8	that	that	SCONJ
ijassa-660	87	9	the	the	DET
ijassa-660	87	10	environment	environment	NOUN
ijassa-660	87	11	is	be	AUX
ijassa-660	87	12	modelled	model	VERB
ijassa-660	87	13	as	as	ADP
ijassa-660	87	14	a	a	DET
ijassa-660	87	15	markov	markov	NOUN
ijassa-660	87	16	decision	decision	NOUN
ijassa-660	87	17	process	process	NOUN
ijassa-660	87	18	.	.	PUNCT
ijassa-660	88	1	in	in	ADP
ijassa-660	88	2	this	this	DET
ijassa-660	88	3	case	case	NOUN
ijassa-660	88	4	our	our	PRON
ijassa-660	88	5	model	model	NOUN
ijassa-660	88	6	can	can	AUX
ijassa-660	88	7	be	be	AUX
ijassa-660	88	8	described	describe	VERB
ijassa-660	88	9	with	with	ADP
ijassa-660	88	10	4	4	NUM
ijassa-660	88	11	-	-	PUNCT
ijassa-660	88	12	tuples	tuple	NOUN
ijassa-660	88	13	(	(	PUNCT
ijassa-660	88	14	s	s	X
ijassa-660	88	15	,	,	PUNCT
ijassa-660	88	16	a	a	PRON
ijassa-660	88	17	,	,	PUNCT
ijassa-660	88	18	p	p	X
ijassa-660	88	19	(	(	PUNCT
ijassa-660	88	20	·	·	PUNCT
ijassa-660	88	21	,	,	PUNCT
ijassa-660	88	22	·	·	PUNCT
ijassa-660	88	23	,	,	PUNCT
ijassa-660	88	24	r	r	X
ijassa-660	88	25	(	(	PUNCT
ijassa-660	88	26	·	·	PUNCT
ijassa-660	88	27	,	,	PUNCT
ijassa-660	88	28	·	·	PUNCT
ijassa-660	88	29	)	)	PUNCT
ijassa-660	88	30	)	)	PUNCT
ijassa-660	88	31	)	)	PUNCT
ijassa-660	88	32	,	,	PUNCT
ijassa-660	88	33	where	where	SCONJ
ijassa-660	88	34	•	•	NOUN
ijassa-660	88	35	s	s	VERB
ijassa-660	88	36	=	=	PUNCT
ijassa-660	88	37	{	{	PUNCT
ijassa-660	88	38	si}ni=0	si}ni=0	NOUN
ijassa-660	88	39	is	be	AUX
ijassa-660	88	40	a	a	DET
ijassa-660	88	41	set	set	NOUN
ijassa-660	88	42	of	of	ADP
ijassa-660	88	43	all	all	DET
ijassa-660	88	44	possible	possible	ADJ
ijassa-660	88	45	states	state	NOUN
ijassa-660	88	46	of	of	ADP
ijassa-660	88	47	the	the	DET
ijassa-660	88	48	simulator	simulator	NOUN
ijassa-660	88	49	;	;	PUNCT
ijassa-660	88	50	•	•	PRON
ijassa-660	88	51	a	a	PRON
ijassa-660	88	52	=	=	PUNCT
ijassa-660	88	53	{	{	PUNCT
ijassa-660	88	54	ai}ki=0	ai}ki=0	PROPN
ijassa-660	88	55	is	be	AUX
ijassa-660	88	56	a	a	DET
ijassa-660	88	57	set	set	NOUN
ijassa-660	88	58	of	of	ADP
ijassa-660	88	59	all	all	DET
ijassa-660	88	60	possible	possible	ADJ
ijassa-660	88	61	actions	action	NOUN
ijassa-660	88	62	of	of	ADP
ijassa-660	88	63	the	the	DET
ijassa-660	88	64	agent	agent	NOUN
ijassa-660	88	65	;	;	PUNCT
ijassa-660	88	66	•	•	ADP
ijassa-660	88	67	p	p	X
ijassa-660	88	68	(	(	PUNCT
ijassa-660	88	69	st+1|st	st+1|st	NOUN
ijassa-660	88	70	,	,	PUNCT
ijassa-660	88	71	at	at	ADP
ijassa-660	88	72	)	)	PUNCT
ijassa-660	88	73	is	be	AUX
ijassa-660	88	74	a	a	DET
ijassa-660	88	75	probability	probability	NOUN
ijassa-660	88	76	of	of	ADP
ijassa-660	88	77	transition	transition	NOUN
ijassa-660	88	78	from	from	ADP
ijassa-660	88	79	state	state	PROPN
ijassa-660	88	80	st	st	PROPN
ijassa-660	88	81	at	at	ADP
ijassa-660	88	82	time	time	NOUN
ijassa-660	88	83	t	t	PROPN
ijassa-660	88	84	to	to	PART
ijassa-660	88	85	state	state	VERB
ijassa-660	88	86	st+1	st+1	NOUN
ijassa-660	88	87	at	at	ADP
ijassa-660	88	88	the	the	DET
ijassa-660	88	89	next	next	ADJ
ijassa-660	88	90	moment	moment	NOUN
ijassa-660	88	91	of	of	ADP
ijassa-660	88	92	time	time	NOUN
ijassa-660	88	93	t+	t+	NOUN
ijassa-660	88	94	1	1	NUM
ijassa-660	88	95	under	under	ADP
ijassa-660	88	96	action	action	NOUN
ijassa-660	88	97	at	at	ADP
ijassa-660	88	98	;	;	PUNCT
ijassa-660	89	1	•	•	NUM
ijassa-660	89	2	r(st+1	r(st+1	NUM
ijassa-660	89	3	,	,	PUNCT
ijassa-660	89	4	st	st	NOUN
ijassa-660	89	5	)	)	PUNCT
ijassa-660	89	6	=	=	SYM
ijassa-660	89	7	r(st	r(st	NOUN
ijassa-660	89	8	,	,	PUNCT
ijassa-660	89	9	at	at	ADP
ijassa-660	89	10	)	)	PUNCT
ijassa-660	89	11	is	be	AUX
ijassa-660	89	12	a	a	DET
ijassa-660	89	13	reward	reward	NOUN
ijassa-660	89	14	after	after	ADP
ijassa-660	89	15	transition	transition	NOUN
ijassa-660	89	16	from	from	ADP
ijassa-660	89	17	state	state	PROPN
ijassa-660	89	18	st	st	PROPN
ijassa-660	89	19	to	to	PART
ijassa-660	89	20	state	state	VERB
ijassa-660	89	21	st+1	st+1	NUM
ijassa-660	89	22	;	;	PUNCT
ijassa-660	89	23	the	the	DET
ijassa-660	89	24	most	most	ADV
ijassa-660	89	25	successful	successful	ADJ
ijassa-660	89	26	approach	approach	NOUN
ijassa-660	89	27	that	that	PRON
ijassa-660	89	28	use	use	VERB
ijassa-660	89	29	markovian	markovian	ADJ
ijassa-660	89	30	assumption	assumption	NOUN
ijassa-660	89	31	about	about	ADP
ijassa-660	89	32	environment	environment	NOUN
ijassa-660	89	33	is	be	AUX
ijassa-660	89	34	the	the	DET
ijassa-660	89	35	so	so	ADV
ijassa-660	89	36	-	-	PUNCT
ijassa-660	89	37	called	call	VERB
ijassa-660	89	38	q	q	NOUN
ijassa-660	89	39	-	-	PUNCT
ijassa-660	89	40	learning	learn	VERB
ijassa-660	89	41	[	[	X
ijassa-660	89	42	19	19	NUM
ijassa-660	89	43	]	]	PUNCT
ijassa-660	89	44	and	and	CCONJ
ijassa-660	89	45	its	its	PRON
ijassa-660	89	46	successor	successor	NOUN
ijassa-660	89	47	in	in	ADP
ijassa-660	89	48	deep	deep	ADJ
ijassa-660	89	49	learning	learning	NOUN
ijassa-660	89	50	domain	domain	NOUN
ijassa-660	89	51	deep	deep	ADJ
ijassa-660	89	52	q	q	NOUN
ijassa-660	89	53	network	network	NOUN
ijassa-660	89	54	(	(	PUNCT
ijassa-660	89	55	dqn	dqn	PROPN
ijassa-660	89	56	)	)	PUNCT
ijassa-660	90	1	[	[	X
ijassa-660	90	2	20	20	NUM
ijassa-660	90	3	]	]	PUNCT
ijassa-660	90	4	.	.	PUNCT
ijassa-660	91	1	in	in	ADP
ijassa-660	91	2	dqn	dqn	NOUN
ijassa-660	91	3	method	method	NOUN
ijassa-660	91	4	the	the	DET
ijassa-660	91	5	neural	neural	ADJ
ijassa-660	91	6	network	network	NOUN
ijassa-660	91	7	generates	generate	VERB
ijassa-660	91	8	probability	probability	NOUN
ijassa-660	91	9	distribution	distribution	NOUN
ijassa-660	91	10	over	over	ADP
ijassa-660	91	11	all	all	DET
ijassa-660	91	12	possible	possible	ADJ
ijassa-660	91	13	actions	action	NOUN
ijassa-660	91	14	in	in	ADP
ijassa-660	91	15	the	the	DET
ijassa-660	91	16	current	current	ADJ
ijassa-660	91	17	state	state	NOUN
ijassa-660	91	18	of	of	ADP
ijassa-660	91	19	environment	environment	NOUN
ijassa-660	91	20	πθ(a|s	πθ(a|s	NUM
ijassa-660	91	21	)	)	PUNCT
ijassa-660	91	22	and	and	CCONJ
ijassa-660	91	23	the	the	DET
ijassa-660	91	24	next	next	ADJ
ijassa-660	91	25	action	action	NOUN
ijassa-660	91	26	is	be	AUX
ijassa-660	91	27	sampled	sample	VERB
ijassa-660	91	28	from	from	ADP
ijassa-660	91	29	it	it	PRON
ijassa-660	91	30	(	(	PUNCT
ijassa-660	91	31	at	at	ADP
ijassa-660	91	32	∼	∼	NOUN
ijassa-660	91	33	πθ(s	πθ(s	PUNCT
ijassa-660	91	34	)	)	PUNCT
ijassa-660	91	35	)	)	PUNCT
ijassa-660	91	36	.	.	PUNCT
ijassa-660	92	1	copyright	copyright	NOUN
ijassa-660	92	2	c	c	ADP
ijassa-660	92	3	©	©	PROPN
ijassa-660	92	4	2018	2018	NUM
ijassa-660	92	5	assa	assa	NOUN
ijassa-660	92	6	.	.	PUNCT
ijassa-660	93	1	adv	adv	PROPN
ijassa-660	93	2	syst	syst	PROPN
ijassa-660	93	3	sci	sci	PROPN
ijassa-660	93	4	appl	appl	PROPN
ijassa-660	93	5	(	(	PUNCT
ijassa-660	93	6	2018	2018	NUM
ijassa-660	93	7	)	)	PUNCT
ijassa-660	93	8	6	6	NUM
ijassa-660	93	9	v.	v.	ADP
ijassa-660	93	10	belavin	belavin	PROPN
ijassa-660	93	11	et	et	PROPN
ijassa-660	93	12	al	al	PROPN
ijassa-660	93	13	.	.	PUNCT
ijassa-660	94	1	(	(	PUNCT
ijassa-660	94	2	a	a	X
ijassa-660	94	3	)	)	PUNCT
ijassa-660	94	4	proposed	propose	VERB
ijassa-660	94	5	simulation	simulation	NOUN
ijassa-660	94	6	control	control	NOUN
ijassa-660	94	7	system	system	NOUN
ijassa-660	94	8	pipeline	pipeline	NOUN
ijassa-660	94	9	.	.	PUNCT
ijassa-660	95	1	(	(	PUNCT
ijassa-660	95	2	b	b	X
ijassa-660	95	3	)	)	PUNCT
ijassa-660	95	4	the	the	DET
ijassa-660	95	5	training	training	NOUN
ijassa-660	95	6	pipeline	pipeline	NOUN
ijassa-660	95	7	.	.	PUNCT
ijassa-660	96	1	fig	fig	NOUN
ijassa-660	96	2	.	.	PUNCT
ijassa-660	97	1	4.3	4.3	NUM
ijassa-660	97	2	.	.	PUNCT
ijassa-660	97	3	simulation	simulation	NOUN
ijassa-660	97	4	control	control	NOUN
ijassa-660	97	5	system	system	NOUN
ijassa-660	97	6	training	training	NOUN
ijassa-660	97	7	pipeline	pipeline	NOUN
ijassa-660	97	8	.	.	PUNCT
ijassa-660	98	1	the	the	DET
ijassa-660	98	2	maximization	maximization	NOUN
ijassa-660	98	3	of	of	ADP
ijassa-660	98	4	agent	agent	NOUN
ijassa-660	98	5	rewards	reward	VERB
ijassa-660	98	6	in	in	ADP
ijassa-660	98	7	all	all	DET
ijassa-660	98	8	possible	possible	ADJ
ijassa-660	98	9	states	state	NOUN
ijassa-660	98	10	of	of	ADP
ijassa-660	98	11	the	the	DET
ijassa-660	98	12	system	system	NOUN
ijassa-660	98	13	can	can	AUX
ijassa-660	98	14	be	be	AUX
ijassa-660	98	15	represented	represent	VERB
ijassa-660	98	16	as	as	ADP
ijassa-660	98	17	the	the	DET
ijassa-660	98	18	maximization	maximization	NOUN
ijassa-660	98	19	of	of	ADP
ijassa-660	98	20	the	the	DET
ijassa-660	98	21	following	follow	VERB
ijassa-660	98	22	objective	objective	NOUN
ijassa-660	98	23	:	:	PUNCT
ijassa-660	98	24	l(πθ	l(πθ	NUM
ijassa-660	98	25	)	)	PUNCT
ijassa-660	98	26	=	=	SYM
ijassa-660	98	27	es	es	NOUN
ijassa-660	98	28	,	,	PUNCT
ijassa-660	98	29	a	a	PRON
ijassa-660	99	1	[	[	X
ijassa-660	99	2	r(s	r(s	PROPN
ijassa-660	99	3	,	,	PUNCT
ijassa-660	99	4	a	a	NOUN
ijassa-660	99	5	)	)	PUNCT
ijassa-660	99	6	]	]	PUNCT
ijassa-660	100	1	=	=	PUNCT
ijassa-660	100	2	∫	∫	PROPN
ijassa-660	100	3	s	s	PART
ijassa-660	100	4	r(s	r(s	PROPN
ijassa-660	100	5	)	)	PUNCT
ijassa-660	100	6	∫	∫	NOUN
ijassa-660	100	7	a	a	DET
ijassa-660	100	8	πθ(s)dsda	πθ(s)dsda	NOUN
ijassa-660	100	9	in	in	ADP
ijassa-660	100	10	the	the	DET
ijassa-660	100	11	case	case	NOUN
ijassa-660	100	12	of	of	ADP
ijassa-660	100	13	neural	neural	ADJ
ijassa-660	100	14	networks	network	NOUN
ijassa-660	100	15	,	,	PUNCT
ijassa-660	100	16	optimization	optimization	NOUN
ijassa-660	100	17	can	can	AUX
ijassa-660	100	18	be	be	AUX
ijassa-660	100	19	easily	easily	ADV
ijassa-660	100	20	performed	perform	VERB
ijassa-660	100	21	with	with	ADP
ijassa-660	100	22	monte	monte	PROPN
ijassa-660	100	23	-	-	PUNCT
ijassa-660	100	24	carlo	carlo	NOUN
ijassa-660	100	25	evaluation	evaluation	NOUN
ijassa-660	100	26	of	of	ADP
ijassa-660	100	27	this	this	DET
ijassa-660	100	28	mathematical	mathematical	ADJ
ijassa-660	100	29	expectation	expectation	NOUN
ijassa-660	100	30	with	with	ADP
ijassa-660	100	31	following	follow	VERB
ijassa-660	100	32	gradient	gradient	ADJ
ijassa-660	100	33	descent	descent	NOUN
ijassa-660	100	34	and	and	CCONJ
ijassa-660	100	35	backward	backward	ADJ
ijassa-660	100	36	propagation	propagation	NOUN
ijassa-660	100	37	of	of	ADP
ijassa-660	100	38	errors	error	NOUN
ijassa-660	100	39	:	:	PUNCT
ijassa-660	100	40	∇θl(πθ	∇θl(πθ	NOUN
ijassa-660	100	41	)	)	PUNCT
ijassa-660	100	42	=	=	SYM
ijassa-660	100	43	es	es	NOUN
ijassa-660	100	44	,	,	PUNCT
ijassa-660	100	45	a	a	PRON
ijassa-660	100	46	[	[	X
ijassa-660	100	47	∇θπθ(s)r(s	∇θπθ(s)r(s	ADJ
ijassa-660	100	48	,	,	PUNCT
ijassa-660	100	49	a	a	NOUN
ijassa-660	100	50	)	)	PUNCT
ijassa-660	100	51	]	]	PUNCT
ijassa-660	101	1	however	however	ADV
ijassa-660	101	2	,	,	PUNCT
ijassa-660	101	3	this	this	DET
ijassa-660	101	4	naive	naive	ADJ
ijassa-660	101	5	approach	approach	NOUN
ijassa-660	101	6	has	have	VERB
ijassa-660	101	7	an	an	DET
ijassa-660	101	8	extremely	extremely	ADV
ijassa-660	101	9	slow	slow	ADJ
ijassa-660	101	10	convergence	convergence	NOUN
ijassa-660	101	11	rate	rate	NOUN
ijassa-660	101	12	.	.	PUNCT
ijassa-660	102	1	this	this	PRON
ijassa-660	102	2	happens	happen	VERB
ijassa-660	102	3	due	due	ADJ
ijassa-660	102	4	to	to	ADP
ijassa-660	102	5	a	a	DET
ijassa-660	102	6	large	large	ADJ
ijassa-660	102	7	number	number	NOUN
ijassa-660	102	8	of	of	ADP
ijassa-660	102	9	control	control	NOUN
ijassa-660	102	10	parameters	parameter	NOUN
ijassa-660	102	11	in	in	ADP
ijassa-660	102	12	continuous	continuous	ADJ
ijassa-660	102	13	real	real	ADV
ijassa-660	102	14	-	-	PUNCT
ijassa-660	102	15	valued	value	VERB
ijassa-660	102	16	space	space	NOUN
ijassa-660	102	17	.	.	PUNCT
ijassa-660	103	1	to	to	PART
ijassa-660	103	2	deal	deal	VERB
ijassa-660	103	3	with	with	ADP
ijassa-660	103	4	this	this	DET
ijassa-660	103	5	problem	problem	NOUN
ijassa-660	103	6	we	we	PRON
ijassa-660	103	7	decided	decide	VERB
ijassa-660	103	8	to	to	PART
ijassa-660	103	9	use	use	VERB
ijassa-660	103	10	ddpg	ddpg	ADJ
ijassa-660	103	11	(	(	PUNCT
ijassa-660	103	12	deep	deep	ADJ
ijassa-660	103	13	deterministic	deterministic	ADJ
ijassa-660	103	14	policy	policy	NOUN
ijassa-660	103	15	gradients	gradient	NOUN
ijassa-660	103	16	)	)	PUNCT
ijassa-660	104	1	[	[	X
ijassa-660	104	2	21	21	NUM
ijassa-660	104	3	]	]	X
ijassa-660	104	4	,	,	PUNCT
ijassa-660	104	5	an	an	DET
ijassa-660	104	6	algorithm	algorithm	NOUN
ijassa-660	104	7	that	that	PRON
ijassa-660	104	8	was	be	AUX
ijassa-660	104	9	designed	design	VERB
ijassa-660	104	10	to	to	PART
ijassa-660	104	11	tackle	tackle	VERB
ijassa-660	104	12	the	the	DET
ijassa-660	104	13	continuous	continuous	ADJ
ijassa-660	104	14	control	control	NOUN
ijassa-660	104	15	problems	problem	NOUN
ijassa-660	104	16	.	.	PUNCT
ijassa-660	105	1	the	the	DET
ijassa-660	105	2	authors	author	NOUN
ijassa-660	105	3	of	of	ADP
ijassa-660	105	4	ddpg	ddpg	ADJ
ijassa-660	105	5	propose	propose	NOUN
ijassa-660	105	6	to	to	PART
ijassa-660	105	7	predict	predict	VERB
ijassa-660	105	8	not	not	PART
ijassa-660	105	9	just	just	ADV
ijassa-660	105	10	a	a	DET
ijassa-660	105	11	distribution	distribution	NOUN
ijassa-660	105	12	over	over	ADP
ijassa-660	105	13	all	all	DET
ijassa-660	105	14	possible	possible	ADJ
ijassa-660	105	15	actions	action	NOUN
ijassa-660	105	16	that	that	PRON
ijassa-660	105	17	agent	agent	NOUN
ijassa-660	105	18	can	can	AUX
ijassa-660	105	19	make	make	VERB
ijassa-660	105	20	but	but	CCONJ
ijassa-660	105	21	a	a	DET
ijassa-660	105	22	specific	specific	ADJ
ijassa-660	105	23	action	action	NOUN
ijassa-660	105	24	.	.	PUNCT
ijassa-660	106	1	to	to	PART
ijassa-660	106	2	endorse	endorse	VERB
ijassa-660	106	3	exploration	exploration	NOUN
ijassa-660	106	4	of	of	ADP
ijassa-660	106	5	state	state	NOUN
ijassa-660	106	6	-	-	PUNCT
ijassa-660	106	7	action	action	NOUN
ijassa-660	106	8	space	space	NOUN
ijassa-660	106	9	they	they	PRON
ijassa-660	106	10	suggest	suggest	AUX
ijassa-660	106	11	adding	add	VERB
ijassa-660	106	12	random	random	ADJ
ijassa-660	106	13	noise	noise	NOUN
ijassa-660	106	14	sampled	sample	VERB
ijassa-660	106	15	from	from	ADP
ijassa-660	106	16	ornstein	ornstein	PROPN
ijassa-660	106	17	–	–	PUNCT
ijassa-660	106	18	uhlenbeck	uhlenbeck	NOUN
ijassa-660	106	19	process	process	NOUN
ijassa-660	106	20	.	.	PUNCT
ijassa-660	107	1	in	in	ADP
ijassa-660	107	2	our	our	PRON
ijassa-660	107	3	realization	realization	NOUN
ijassa-660	107	4	the	the	DET
ijassa-660	107	5	ornstein	ornstein	PROPN
ijassa-660	107	6	–	–	PUNCT
ijassa-660	107	7	uhlenbeck	uhlenbeck	PROPN
ijassa-660	107	8	noise	noise	NOUN
ijassa-660	107	9	was	be	AUX
ijassa-660	107	10	sampled	sample	VERB
ijassa-660	107	11	this	this	DET
ijassa-660	107	12	way	way	NOUN
ijassa-660	107	13	:	:	PUNCT
ijassa-660	107	14	nt+1	nt+1	X
ijassa-660	107	15	=	=	SYM
ijassa-660	107	16	nt	not	PART
ijassa-660	107	17	+	+	NOUN
ijassa-660	107	18	θ(n0	θ(n0	NOUN
ijassa-660	107	19	−	−	PROPN
ijassa-660	107	20	nt	not	PART
ijassa-660	107	21	)	)	PUNCT
ijassa-660	107	22	+	+	CCONJ
ijassa-660	107	23	σn(0	σn(0	PROPN
ijassa-660	107	24	,	,	PUNCT
ijassa-660	107	25	σ	σ	PROPN
ijassa-660	107	26	)	)	PUNCT
ijassa-660	107	27	,	,	PUNCT
ijassa-660	107	28	where	where	SCONJ
ijassa-660	107	29	θ	θ	PROPN
ijassa-660	107	30	defines	define	VERB
ijassa-660	107	31	a	a	DET
ijassa-660	107	32	momentum	momentum	NOUN
ijassa-660	107	33	of	of	ADP
ijassa-660	107	34	regression	regression	NOUN
ijassa-660	107	35	toward	toward	ADP
ijassa-660	107	36	the	the	DET
ijassa-660	107	37	mean(n0),n(0	mean(n0),n(0	PROPN
ijassa-660	107	38	,	,	PUNCT
ijassa-660	107	39	1	1	NUM
ijassa-660	107	40	)	)	PUNCT
ijassa-660	107	41	is	be	AUX
ijassa-660	107	42	normal	normal	ADJ
ijassa-660	107	43	random	random	ADJ
ijassa-660	107	44	variable	variable	NOUN
ijassa-660	107	45	,	,	PUNCT
ijassa-660	107	46	σ	σ	PROPN
ijassa-660	107	47	is	be	AUX
ijassa-660	107	48	a	a	DET
ijassa-660	107	49	variance	variance	NOUN
ijassa-660	107	50	of	of	ADP
ijassa-660	107	51	the	the	DET
ijassa-660	107	52	process	process	NOUN
ijassa-660	107	53	.	.	PUNCT
ijassa-660	108	1	the	the	DET
ijassa-660	108	2	action	action	NOUN
ijassa-660	108	3	predicted	predict	VERB
ijassa-660	108	4	by	by	ADP
ijassa-660	108	5	the	the	DET
ijassa-660	108	6	neural	neural	ADJ
ijassa-660	108	7	network	network	NOUN
ijassa-660	108	8	is	be	AUX
ijassa-660	108	9	consequently	consequently	ADV
ijassa-660	108	10	modified	modify	VERB
ijassa-660	108	11	by	by	ADP
ijassa-660	108	12	addition	addition	NOUN
ijassa-660	108	13	of	of	ADP
ijassa-660	108	14	the	the	DET
ijassa-660	108	15	noise	noise	NOUN
ijassa-660	108	16	:	:	PUNCT
ijassa-660	108	17	copyright	copyright	NOUN
ijassa-660	108	18	c	c	ADP
ijassa-660	108	19	©	©	PROPN
ijassa-660	108	20	2018	2018	NUM
ijassa-660	108	21	assa	assa	NOUN
ijassa-660	108	22	.	.	PUNCT
ijassa-660	109	1	adv	adv	PROPN
ijassa-660	109	2	syst	syst	PROPN
ijassa-660	109	3	sci	sci	PROPN
ijassa-660	109	4	appl	appl	PROPN
ijassa-660	109	5	(	(	PUNCT
ijassa-660	109	6	2018	2018	NUM
ijassa-660	109	7	)	)	PUNCT
ijassa-660	109	8	tuning	tune	VERB
ijassa-660	109	9	dss	dss	NOUN
ijassa-660	109	10	digital	digital	ADJ
ijassa-660	109	11	twins	twin	NOUN
ijassa-660	109	12	with	with	ADP
ijassa-660	109	13	rl	rl	PROPN
ijassa-660	109	14	7	7	NUM
ijassa-660	109	15	ât	ât	NOUN
ijassa-660	109	16	=	=	PUNCT
ijassa-660	109	17	at	at	ADP
ijassa-660	109	18	+	+	CCONJ
ijassa-660	109	19	nt	not	PART
ijassa-660	109	20	.	.	PUNCT
ijassa-660	110	1	this	this	DET
ijassa-660	110	2	choice	choice	NOUN
ijassa-660	110	3	of	of	ADP
ijassa-660	110	4	the	the	DET
ijassa-660	110	5	noise	noise	NOUN
ijassa-660	110	6	provides	provide	VERB
ijassa-660	110	7	an	an	DET
ijassa-660	110	8	adequate	adequate	ADJ
ijassa-660	110	9	level	level	NOUN
ijassa-660	110	10	of	of	ADP
ijassa-660	110	11	“	"	PUNCT
ijassa-660	110	12	curiosity	curiosity	NOUN
ijassa-660	110	13	”	"	PUNCT
ijassa-660	110	14	due	due	ADP
ijassa-660	110	15	to	to	ADP
ijassa-660	110	16	its	its	PRON
ijassa-660	110	17	random	random	ADJ
ijassa-660	110	18	nature	nature	NOUN
ijassa-660	110	19	.	.	PUNCT
ijassa-660	111	1	furthermore	furthermore	ADV
ijassa-660	111	2	,	,	PUNCT
ijassa-660	111	3	autocorrelation	autocorrelation	NOUN
ijassa-660	111	4	property	property	NOUN
ijassa-660	111	5	of	of	ADP
ijassa-660	111	6	this	this	DET
ijassa-660	111	7	process	process	NOUN
ijassa-660	111	8	ensures	ensure	VERB
ijassa-660	111	9	smooth	smooth	ADJ
ijassa-660	111	10	transitions	transition	NOUN
ijassa-660	111	11	of	of	ADP
ijassa-660	111	12	actions	action	NOUN
ijassa-660	111	13	thus	thus	ADV
ijassa-660	111	14	making	make	VERB
ijassa-660	111	15	it	it	PRON
ijassa-660	111	16	more	more	ADV
ijassa-660	111	17	suitable	suitable	ADJ
ijassa-660	111	18	for	for	ADP
ijassa-660	111	19	control	control	NOUN
ijassa-660	111	20	tasks	task	NOUN
ijassa-660	111	21	and	and	CCONJ
ijassa-660	111	22	additionally	additionally	ADV
ijassa-660	111	23	reducing	reduce	VERB
ijassa-660	111	24	variance	variance	NOUN
ijassa-660	111	25	during	during	ADP
ijassa-660	111	26	training	training	NOUN
ijassa-660	111	27	.	.	PUNCT
ijassa-660	112	1	4.2	4.2	X
ijassa-660	112	2	.	.	PUNCT
ijassa-660	112	3	metrics	metric	NOUN
ijassa-660	112	4	we	we	PRON
ijassa-660	112	5	implemented	implement	VERB
ijassa-660	112	6	various	various	ADJ
ijassa-660	112	7	metrics	metric	NOUN
ijassa-660	112	8	to	to	PART
ijassa-660	112	9	compare	compare	VERB
ijassa-660	112	10	output	output	NOUN
ijassa-660	112	11	data	datum	NOUN
ijassa-660	112	12	from	from	ADP
ijassa-660	112	13	different	different	ADJ
ijassa-660	112	14	simulation	simulation	NOUN
ijassa-660	112	15	runs	run	NOUN
ijassa-660	112	16	:	:	PUNCT
ijassa-660	112	17	•	•	NUM
ijassa-660	112	18	cosine	cosine	NOUN
ijassa-660	112	19	similarity	similarity	NOUN
ijassa-660	112	20	of	of	ADP
ijassa-660	112	21	spectra	spectra	PROPN
ijassa-660	112	22	or	or	CCONJ
ijassa-660	112	23	wavelet	wavelet	NOUN
ijassa-660	112	24	spectra	spectra	NOUN
ijassa-660	112	25	;	;	PUNCT
ijassa-660	112	26	•	•	NUM
ijassa-660	112	27	mean	mean	NOUN
ijassa-660	112	28	square	square	ADJ
ijassa-660	112	29	error	error	NOUN
ijassa-660	112	30	;	;	PUNCT
ijassa-660	112	31	•	•	NUM
ijassa-660	112	32	kolmogorov	kolmogorov	ADJ
ijassa-660	112	33	distance	distance	NOUN
ijassa-660	112	34	(	(	PUNCT
ijassa-660	112	35	kd	kd	PROPN
ijassa-660	112	36	)	)	PUNCT
ijassa-660	112	37	,	,	PUNCT
ijassa-660	112	38	wasserstein	wasserstein	NOUN
ijassa-660	112	39	distance	distance	NOUN
ijassa-660	112	40	(	(	PUNCT
ijassa-660	112	41	w	w	NOUN
ijassa-660	112	42	)	)	PUNCT
ijassa-660	112	43	,	,	PUNCT
ijassa-660	112	44	cramér	cramér	PROPN
ijassa-660	112	45	–	–	PUNCT
ijassa-660	112	46	von	von	PROPN
ijassa-660	112	47	mises	mises	PROPN
ijassa-660	112	48	distance	distance	PROPN
ijassa-660	112	49	(	(	PUNCT
ijassa-660	112	50	cvm	cvm	NOUN
ijassa-660	112	51	)	)	PUNCT
ijassa-660	112	52	between	between	ADP
ijassa-660	112	53	distributions	distribution	NOUN
ijassa-660	112	54	of	of	ADP
ijassa-660	112	55	two	two	NUM
ijassa-660	112	56	sets	set	NOUN
ijassa-660	112	57	of	of	ADP
ijassa-660	112	58	output	output	NOUN
ijassa-660	112	59	parameters	parameter	NOUN
ijassa-660	112	60	.	.	PUNCT
ijassa-660	113	1	our	our	PRON
ijassa-660	113	2	goal	goal	NOUN
ijassa-660	113	3	is	be	AUX
ijassa-660	113	4	to	to	PART
ijassa-660	113	5	find	find	VERB
ijassa-660	113	6	a	a	DET
ijassa-660	113	7	reward	reward	NOUN
ijassa-660	113	8	function	function	NOUN
ijassa-660	113	9	that	that	PRON
ijassa-660	113	10	would	would	AUX
ijassa-660	113	11	be	be	AUX
ijassa-660	113	12	sensitive	sensitive	ADJ
ijassa-660	113	13	to	to	ADP
ijassa-660	113	14	differences	difference	NOUN
ijassa-660	113	15	in	in	ADP
ijassa-660	113	16	the	the	DET
ijassa-660	113	17	control	control	NOUN
ijassa-660	113	18	parameters	parameter	NOUN
ijassa-660	113	19	,	,	PUNCT
ijassa-660	113	20	but	but	CCONJ
ijassa-660	113	21	smooth	smooth	ADJ
ijassa-660	113	22	and	and	CCONJ
ijassa-660	113	23	robust	robust	ADJ
ijassa-660	113	24	to	to	ADP
ijassa-660	113	25	small	small	ADJ
ijassa-660	113	26	perturbations	perturbation	NOUN
ijassa-660	113	27	.	.	PUNCT
ijassa-660	114	1	these	these	DET
ijassa-660	114	2	requirements	requirement	NOUN
ijassa-660	114	3	are	be	AUX
ijassa-660	114	4	important	important	ADJ
ijassa-660	114	5	for	for	ADP
ijassa-660	114	6	the	the	DET
ijassa-660	114	7	convergence	convergence	NOUN
ijassa-660	114	8	of	of	ADP
ijassa-660	114	9	neural	neural	ADJ
ijassa-660	114	10	network	network	NOUN
ijassa-660	114	11	training	training	NOUN
ijassa-660	114	12	.	.	PUNCT
ijassa-660	115	1	we	we	PRON
ijassa-660	115	2	tested	test	VERB
ijassa-660	115	3	metrics	metric	NOUN
ijassa-660	115	4	on	on	ADP
ijassa-660	115	5	simulated	simulated	ADJ
ijassa-660	115	6	data	datum	NOUN
ijassa-660	115	7	with	with	ADP
ijassa-660	115	8	different	different	ADJ
ijassa-660	115	9	fixed	fix	VERB
ijassa-660	115	10	parameters	parameter	NOUN
ijassa-660	115	11	.	.	PUNCT
ijassa-660	116	1	it	it	PRON
ijassa-660	116	2	was	be	AUX
ijassa-660	116	3	done	do	VERB
ijassa-660	116	4	without	without	ADP
ijassa-660	116	5	complex	complex	ADJ
ijassa-660	116	6	analysis	analysis	NOUN
ijassa-660	116	7	but	but	CCONJ
ijassa-660	116	8	with	with	ADP
ijassa-660	116	9	simple	simple	ADJ
ijassa-660	116	10	hand	hand	NOUN
ijassa-660	116	11	-	-	PUNCT
ijassa-660	116	12	selection	selection	NOUN
ijassa-660	116	13	based	base	VERB
ijassa-660	116	14	on	on	ADP
ijassa-660	116	15	plots	plot	NOUN
ijassa-660	116	16	of	of	ADP
ijassa-660	116	17	metric	metric	ADJ
ijassa-660	116	18	dependencies	dependency	NOUN
ijassa-660	116	19	.	.	PUNCT
ijassa-660	117	1	we	we	PRON
ijassa-660	117	2	propose	propose	VERB
ijassa-660	117	3	following	follow	VERB
ijassa-660	117	4	loss	loss	NOUN
ijassa-660	117	5	function	function	NOUN
ijassa-660	117	6	that	that	PRON
ijassa-660	117	7	combines	combine	VERB
ijassa-660	117	8	several	several	ADJ
ijassa-660	117	9	metrics	metric	NOUN
ijassa-660	117	10	.	.	PUNCT
ijassa-660	118	1	numeric	numeric	ADJ
ijassa-660	118	2	coefficients	coefficient	NOUN
ijassa-660	118	3	were	be	AUX
ijassa-660	118	4	chosen	choose	VERB
ijassa-660	118	5	so	so	SCONJ
ijassa-660	118	6	that	that	SCONJ
ijassa-660	118	7	all	all	DET
ijassa-660	118	8	values	value	NOUN
ijassa-660	118	9	in	in	ADP
ijassa-660	118	10	loss	loss	NOUN
ijassa-660	118	11	function	function	NOUN
ijassa-660	118	12	would	would	AUX
ijassa-660	118	13	have	have	VERB
ijassa-660	118	14	about	about	ADP
ijassa-660	118	15	the	the	DET
ijassa-660	118	16	same	same	ADJ
ijassa-660	118	17	order	order	NOUN
ijassa-660	118	18	of	of	ADP
ijassa-660	118	19	magnitude	magnitude	NOUN
ijassa-660	118	20	and	and	CCONJ
ijassa-660	118	21	similar	similar	ADJ
ijassa-660	118	22	contribution	contribution	NOUN
ijassa-660	118	23	.	.	PUNCT
ijassa-660	119	1	rt	rt	PROPN
ijassa-660	119	2	=	=	PROPN
ijassa-660	119	3	|sreft	|sreft	PROPN
ijassa-660	119	4	−	−	PROPN
ijassa-660	119	5	scontrolledt	scontrolledt	NOUN
ijassa-660	119	6	|	|	ADV
ijassa-660	119	7	107	107	NUM
ijassa-660	120	1	+	+	CCONJ
ijassa-660	120	2	cvm(wv	cvm(wv	NOUN
ijassa-660	120	3	ref	ref	NOUN
ijassa-660	120	4	1,	1,	NUM
ijassa-660	120	5	...	...	PUNCT
ijassa-660	120	6	,t	,t	PUNCT
ijassa-660	120	7	,	,	PUNCT
ijassa-660	120	8	v	v	ADP
ijassa-660	120	9	controlled	control	VERB
ijassa-660	120	10	1,	1,	NUM
ijassa-660	120	11	...	...	PUNCT
ijassa-660	120	12	,t	,t	PUNCT
ijassa-660	120	13	)	)	PUNCT
ijassa-660	120	14	20	20	NUM
ijassa-660	121	1	+	+	CCONJ
ijassa-660	121	2	cvm(wqref	cvm(wqref	PROPN
ijassa-660	121	3	1,	1,	NUM
ijassa-660	121	4	...	...	PUNCT
ijassa-660	121	5	,t	,t	PUNCT
ijassa-660	121	6	,	,	PUNCT
ijassa-660	121	7	q	q	PROPN
ijassa-660	121	8	controlled	control	VERB
ijassa-660	121	9	1,	1,	NUM
ijassa-660	121	10	...	...	PUNCT
ijassa-660	121	11	,t	,t	PUNCT
ijassa-660	121	12	)	)	PUNCT
ijassa-660	121	13	2	2	NUM
ijassa-660	121	14	,	,	PUNCT
ijassa-660	121	15	where	where	SCONJ
ijassa-660	121	16	•	•	NOUN
ijassa-660	121	17	st	st	PROPN
ijassa-660	121	18	is	be	AUX
ijassa-660	121	19	a	a	DET
ijassa-660	121	20	total	total	ADJ
ijassa-660	121	21	occupied	occupy	VERB
ijassa-660	121	22	storage	storage	NOUN
ijassa-660	121	23	space	space	NOUN
ijassa-660	121	24	at	at	ADP
ijassa-660	121	25	the	the	DET
ijassa-660	121	26	time	time	NOUN
ijassa-660	121	27	t.	t.	PROPN
ijassa-660	121	28	occupied	occupy	VERB
ijassa-660	121	29	storage	storage	NOUN
ijassa-660	121	30	space	space	NOUN
ijassa-660	121	31	is	be	AUX
ijassa-660	121	32	a	a	DET
ijassa-660	121	33	cumulative	cumulative	ADJ
ijassa-660	121	34	and	and	CCONJ
ijassa-660	121	35	robust	robust	ADJ
ijassa-660	121	36	characteristic	characteristic	NOUN
ijassa-660	121	37	of	of	ADP
ijassa-660	121	38	the	the	DET
ijassa-660	121	39	system	system	NOUN
ijassa-660	121	40	.	.	PUNCT
ijassa-660	122	1	one	one	NUM
ijassa-660	122	2	drawback	drawback	NOUN
ijassa-660	122	3	of	of	ADP
ijassa-660	122	4	this	this	DET
ijassa-660	122	5	metric	metric	NOUN
ijassa-660	122	6	is	be	AUX
ijassa-660	122	7	that	that	SCONJ
ijassa-660	122	8	it	it	PRON
ijassa-660	122	9	accumulates	accumulate	VERB
ijassa-660	122	10	simulation	simulation	NOUN
ijassa-660	122	11	errors	error	NOUN
ijassa-660	122	12	.	.	PUNCT
ijassa-660	123	1	•	•	NUM
ijassa-660	123	2	v1,	v1,	NOUN
ijassa-660	123	3	...	...	PUNCT
ijassa-660	123	4	,t	,t	PUNCT
ijassa-660	123	5	is	be	AUX
ijassa-660	123	6	an	an	DET
ijassa-660	123	7	empirical	empirical	ADJ
ijassa-660	123	8	distribution	distribution	NOUN
ijassa-660	123	9	function	function	NOUN
ijassa-660	123	10	of	of	ADP
ijassa-660	123	11	transferred	transfer	VERB
ijassa-660	123	12	data	data	NOUN
ijassa-660	123	13	amount	amount	NOUN
ijassa-660	123	14	in	in	ADP
ijassa-660	123	15	“	"	PUNCT
ijassa-660	123	16	write	write	VERB
ijassa-660	123	17	”	"	PUNCT
ijassa-660	123	18	mode	mode	NOUN
ijassa-660	123	19	from	from	ADP
ijassa-660	123	20	t′	t′	NOUN
ijassa-660	123	21	=	=	SYM
ijassa-660	123	22	0	0	NUM
ijassa-660	123	23	to	to	ADP
ijassa-660	123	24	t′	t′	NUM
ijassa-660	123	25	=	=	SYM
ijassa-660	123	26	t	t	PROPN
ijassa-660	123	27	;	;	PUNCT
ijassa-660	123	28	•	•	ADP
ijassa-660	123	29	q1,	q1,	ADV
ijassa-660	123	30	...	...	PUNCT
ijassa-660	123	31	,t	,t	PUNCT
ijassa-660	123	32	is	be	AUX
ijassa-660	123	33	an	an	DET
ijassa-660	123	34	empirical	empirical	ADJ
ijassa-660	123	35	distribution	distribution	NOUN
ijassa-660	123	36	function	function	NOUN
ijassa-660	123	37	of	of	ADP
ijassa-660	123	38	write	write	NOUN
ijassa-660	123	39	requests	request	NOUN
ijassa-660	123	40	response	response	NOUN
ijassa-660	123	41	time	time	NOUN
ijassa-660	123	42	from	from	ADP
ijassa-660	123	43	t′	t′	NOUN
ijassa-660	123	44	=	=	SYM
ijassa-660	123	45	0	0	NUM
ijassa-660	123	46	to	to	ADP
ijassa-660	123	47	t′	t′	NUM
ijassa-660	123	48	=	=	SYM
ijassa-660	123	49	t	t	PROPN
ijassa-660	123	50	;	;	PUNCT
ijassa-660	123	51	these	these	DET
ijassa-660	123	52	two	two	NUM
ijassa-660	123	53	metrics	metric	NOUN
ijassa-660	123	54	represent	represent	VERB
ijassa-660	123	55	dynamical	dynamical	ADJ
ijassa-660	123	56	behavior	behavior	NOUN
ijassa-660	123	57	of	of	ADP
ijassa-660	123	58	the	the	DET
ijassa-660	123	59	system	system	NOUN
ijassa-660	123	60	.	.	PUNCT
ijassa-660	124	1	then	then	ADV
ijassa-660	124	2	we	we	PRON
ijassa-660	124	3	can	can	AUX
ijassa-660	124	4	easily	easily	ADV
ijassa-660	124	5	define	define	VERB
ijassa-660	124	6	reward	reward	NOUN
ijassa-660	124	7	function	function	NOUN
ijassa-660	124	8	as	as	ADP
ijassa-660	124	9	a	a	DET
ijassa-660	124	10	temporal	temporal	ADJ
ijassa-660	124	11	difference	difference	NOUN
ijassa-660	124	12	between	between	ADP
ijassa-660	124	13	losses	loss	NOUN
ijassa-660	124	14	at	at	ADP
ijassa-660	124	15	consequent	consequent	ADJ
ijassa-660	124	16	moments	moment	NOUN
ijassa-660	124	17	of	of	ADP
ijassa-660	124	18	time	time	NOUN
ijassa-660	124	19	,	,	PUNCT
ijassa-660	124	20	i.e.	i.e.	X
ijassa-660	124	21	rt	rt	X
ijassa-660	124	22	=	=	SYM
ijassa-660	124	23	rt−1	rt−1	PROPN
ijassa-660	124	24	−rt	−rt	NOUN
ijassa-660	124	25	.	.	PROPN
ijassa-660	124	26	5	5	NUM
ijassa-660	124	27	.	.	PUNCT
ijassa-660	124	28	training	train	VERB
ijassa-660	124	29	5.1	5.1	NUM
ijassa-660	124	30	.	.	PUNCT
ijassa-660	125	1	experiments	experiment	NOUN
ijassa-660	125	2	for	for	ADP
ijassa-660	125	3	the	the	DET
ijassa-660	125	4	moment	moment	NOUN
ijassa-660	125	5	,	,	PUNCT
ijassa-660	125	6	the	the	DET
ijassa-660	125	7	data	datum	NOUN
ijassa-660	125	8	from	from	ADP
ijassa-660	125	9	the	the	DET
ijassa-660	125	10	real	real	ADJ
ijassa-660	125	11	system	system	NOUN
ijassa-660	125	12	is	be	AUX
ijassa-660	125	13	not	not	PART
ijassa-660	125	14	yet	yet	ADV
ijassa-660	125	15	available	available	ADJ
ijassa-660	125	16	for	for	ADP
ijassa-660	125	17	the	the	DET
ijassa-660	125	18	optimization	optimization	NOUN
ijassa-660	125	19	of	of	ADP
ijassa-660	125	20	simulation	simulation	NOUN
ijassa-660	125	21	.	.	PUNCT
ijassa-660	126	1	due	due	ADP
ijassa-660	126	2	to	to	ADP
ijassa-660	126	3	this	this	PRON
ijassa-660	126	4	,	,	PUNCT
ijassa-660	126	5	the	the	DET
ijassa-660	126	6	experiment	experiment	NOUN
ijassa-660	126	7	is	be	AUX
ijassa-660	126	8	conducted	conduct	VERB
ijassa-660	126	9	in	in	ADP
ijassa-660	126	10	the	the	DET
ijassa-660	126	11	following	following	ADJ
ijassa-660	126	12	way	way	NOUN
ijassa-660	126	13	:	:	PUNCT
ijassa-660	126	14	we	we	PRON
ijassa-660	126	15	take	take	VERB
ijassa-660	126	16	two	two	NUM
ijassa-660	126	17	configurations	configuration	NOUN
ijassa-660	126	18	of	of	ADP
ijassa-660	126	19	the	the	DET
ijassa-660	126	20	system	system	NOUN
ijassa-660	126	21	(	(	PUNCT
ijassa-660	126	22	two	two	NUM
ijassa-660	126	23	sets	set	NOUN
ijassa-660	126	24	of	of	ADP
ijassa-660	126	25	initial	initial	ADJ
ijassa-660	126	26	control	control	NOUN
ijassa-660	126	27	parameters	parameter	NOUN
ijassa-660	126	28	)	)	PUNCT
ijassa-660	126	29	,	,	PUNCT
ijassa-660	126	30	the	the	DET
ijassa-660	126	31	first	first	ADJ
ijassa-660	126	32	configuration	configuration	NOUN
ijassa-660	126	33	is	be	AUX
ijassa-660	126	34	assumed	assume	VERB
ijassa-660	126	35	to	to	PART
ijassa-660	126	36	be	be	AUX
ijassa-660	126	37	the	the	DET
ijassa-660	126	38	target	target	NOUN
ijassa-660	126	39	system	system	NOUN
ijassa-660	126	40	that	that	PRON
ijassa-660	126	41	we	we	PRON
ijassa-660	126	42	want	want	VERB
ijassa-660	126	43	to	to	PART
ijassa-660	126	44	be	be	AUX
ijassa-660	126	45	able	able	ADJ
ijassa-660	126	46	to	to	PART
ijassa-660	126	47	properly	properly	ADV
ijassa-660	126	48	simulate	simulate	VERB
ijassa-660	126	49	the	the	DET
ijassa-660	126	50	behavior	behavior	NOUN
ijassa-660	126	51	of	of	ADP
ijassa-660	126	52	.	.	PUNCT
ijassa-660	127	1	the	the	DET
ijassa-660	127	2	second	second	ADJ
ijassa-660	127	3	configuration	configuration	NOUN
ijassa-660	127	4	is	be	AUX
ijassa-660	127	5	used	use	VERB
ijassa-660	127	6	for	for	ADP
ijassa-660	127	7	initialization	initialization	NOUN
ijassa-660	127	8	of	of	ADP
ijassa-660	127	9	the	the	DET
ijassa-660	127	10	neural	neural	ADJ
ijassa-660	127	11	network	network	NOUN
ijassa-660	127	12	.	.	PUNCT
ijassa-660	128	1	we	we	PRON
ijassa-660	128	2	initialize	initialize	VERB
ijassa-660	128	3	all	all	DET
ijassa-660	128	4	layers	layer	NOUN
ijassa-660	128	5	randomly	randomly	ADV
ijassa-660	128	6	and	and	CCONJ
ijassa-660	128	7	for	for	ADP
ijassa-660	128	8	the	the	DET
ijassa-660	128	9	last	last	ADJ
ijassa-660	128	10	layer	layer	NOUN
ijassa-660	128	11	,	,	PUNCT
ijassa-660	128	12	which	which	PRON
ijassa-660	128	13	represents	represent	VERB
ijassa-660	128	14	parameters	parameter	NOUN
ijassa-660	128	15	of	of	ADP
ijassa-660	128	16	the	the	DET
ijassa-660	128	17	simulator	simulator	NOUN
ijassa-660	128	18	,	,	PUNCT
ijassa-660	128	19	we	we	PRON
ijassa-660	128	20	copyright	copyright	VERB
ijassa-660	128	21	c	c	ADP
ijassa-660	128	22	©	©	PROPN
ijassa-660	128	23	2018	2018	NUM
ijassa-660	128	24	assa	assa	NOUN
ijassa-660	128	25	.	.	PUNCT
ijassa-660	129	1	adv	adv	PROPN
ijassa-660	129	2	syst	syst	PROPN
ijassa-660	129	3	sci	sci	PROPN
ijassa-660	129	4	appl	appl	PROPN
ijassa-660	129	5	(	(	PUNCT
ijassa-660	129	6	2018	2018	NUM
ijassa-660	129	7	)	)	PUNCT
ijassa-660	129	8	8	8	NUM
ijassa-660	129	9	v.	v.	ADP
ijassa-660	129	10	belavin	belavin	PROPN
ijassa-660	129	11	et	et	PROPN
ijassa-660	129	12	al	al	PROPN
ijassa-660	129	13	.	.	PROPN
ijassa-660	129	14	fig	fig	PROPN
ijassa-660	129	15	.	.	PUNCT
ijassa-660	130	1	5.4	5.4	NUM
ijassa-660	130	2	.	.	PUNCT
ijassa-660	130	3	load	load	NOUN
ijassa-660	130	4	parameters	parameter	NOUN
ijassa-660	130	5	sampling	sample	VERB
ijassa-660	130	6	areas	area	NOUN
ijassa-660	130	7	.	.	PUNCT
ijassa-660	131	1	loads	load	NOUN
ijassa-660	131	2	for	for	ADP
ijassa-660	131	3	training	training	NOUN
ijassa-660	131	4	set	set	NOUN
ijassa-660	131	5	are	be	AUX
ijassa-660	131	6	sampled	sample	VERB
ijassa-660	131	7	from	from	ADP
ijassa-660	131	8	red	red	ADJ
ijassa-660	131	9	area	area	NOUN
ijassa-660	131	10	,	,	PUNCT
ijassa-660	131	11	loads	load	VERB
ijassa-660	131	12	for	for	ADP
ijassa-660	131	13	validation	validation	NOUN
ijassa-660	131	14	set	set	NOUN
ijassa-660	131	15	are	be	AUX
ijassa-660	131	16	sampled	sample	VERB
ijassa-660	131	17	from	from	ADP
ijassa-660	131	18	blue	blue	ADJ
ijassa-660	131	19	area	area	NOUN
ijassa-660	131	20	.	.	PUNCT
ijassa-660	132	1	black	black	ADJ
ijassa-660	132	2	dots	dot	NOUN
ijassa-660	132	3	are	be	AUX
ijassa-660	132	4	sampled	sample	VERB
ijassa-660	132	5	points	point	NOUN
ijassa-660	132	6	.	.	PUNCT
ijassa-660	133	1	zero	zero	NUM
ijassa-660	133	2	the	the	DET
ijassa-660	133	3	weights	weight	NOUN
ijassa-660	133	4	and	and	CCONJ
ijassa-660	133	5	set	set	VERB
ijassa-660	133	6	biases	bias	NOUN
ijassa-660	133	7	of	of	ADP
ijassa-660	133	8	layer	layer	NOUN
ijassa-660	133	9	to	to	ADP
ijassa-660	133	10	parameters	parameter	NOUN
ijassa-660	133	11	from	from	ADP
ijassa-660	133	12	the	the	DET
ijassa-660	133	13	second	second	ADJ
ijassa-660	133	14	configuration	configuration	NOUN
ijassa-660	133	15	.	.	PUNCT
ijassa-660	134	1	on	on	ADP
ijassa-660	134	2	the	the	DET
ijassa-660	134	3	assumption	assumption	NOUN
ijassa-660	134	4	that	that	SCONJ
ijassa-660	134	5	in	in	ADP
ijassa-660	134	6	the	the	DET
ijassa-660	134	7	real	real	ADJ
ijassa-660	134	8	system	system	NOUN
ijassa-660	134	9	the	the	DET
ijassa-660	134	10	optimal	optimal	ADJ
ijassa-660	134	11	parameters	parameter	NOUN
ijassa-660	134	12	could	could	AUX
ijassa-660	134	13	be	be	AUX
ijassa-660	134	14	far	far	ADV
ijassa-660	134	15	away	away	ADV
ijassa-660	134	16	from	from	ADP
ijassa-660	134	17	the	the	DET
ijassa-660	134	18	initial	initial	ADJ
ijassa-660	134	19	parameters	parameter	NOUN
ijassa-660	134	20	we	we	PRON
ijassa-660	134	21	deliberately	deliberately	ADV
ijassa-660	134	22	set	set	VERB
ijassa-660	134	23	parameters	parameter	NOUN
ijassa-660	134	24	of	of	ADP
ijassa-660	134	25	the	the	DET
ijassa-660	134	26	second	second	ADJ
ijassa-660	134	27	configuration	configuration	NOUN
ijassa-660	134	28	to	to	PART
ijassa-660	134	29	be	be	AUX
ijassa-660	134	30	very	very	ADV
ijassa-660	134	31	different	different	ADJ
ijassa-660	134	32	from	from	ADP
ijassa-660	134	33	the	the	DET
ijassa-660	134	34	target	target	NOUN
ijassa-660	134	35	system	system	NOUN
ijassa-660	134	36	.	.	PUNCT
ijassa-660	135	1	also	also	ADV
ijassa-660	135	2	,	,	PUNCT
ijassa-660	135	3	we	we	PRON
ijassa-660	135	4	made	make	VERB
ijassa-660	135	5	one	one	NUM
ijassa-660	135	6	more	more	ADJ
ijassa-660	135	7	simplification	simplification	NOUN
ijassa-660	135	8	.	.	PUNCT
ijassa-660	136	1	our	our	PRON
ijassa-660	136	2	configurations	configuration	NOUN
ijassa-660	136	3	differ	differ	VERB
ijassa-660	136	4	only	only	ADV
ijassa-660	136	5	in	in	ADP
ijassa-660	136	6	the	the	DET
ijassa-660	136	7	following	follow	VERB
ijassa-660	136	8	sets	set	NOUN
ijassa-660	136	9	of	of	ADP
ijassa-660	136	10	parameters	parameter	NOUN
ijassa-660	136	11	:	:	PUNCT
ijassa-660	136	12	bandwidth	bandwidth	NOUN
ijassa-660	136	13	of	of	ADP
ijassa-660	136	14	physical	physical	ADJ
ijassa-660	136	15	network	network	NOUN
ijassa-660	136	16	links	link	NOUN
ijassa-660	136	17	and	and	CCONJ
ijassa-660	136	18	the	the	DET
ijassa-660	136	19	computational	computational	ADJ
ijassa-660	136	20	power	power	NOUN
ijassa-660	136	21	of	of	ADP
ijassa-660	136	22	storage	storage	NOUN
ijassa-660	136	23	controllers	controller	NOUN
ijassa-660	136	24	.	.	PUNCT
ijassa-660	137	1	these	these	DET
ijassa-660	137	2	parameters	parameter	NOUN
ijassa-660	137	3	have	have	VERB
ijassa-660	137	4	the	the	DET
ijassa-660	137	5	highest	high	ADJ
ijassa-660	137	6	impact	impact	NOUN
ijassa-660	137	7	on	on	ADP
ijassa-660	137	8	the	the	DET
ijassa-660	137	9	behavior	behavior	NOUN
ijassa-660	137	10	on	on	ADP
ijassa-660	137	11	the	the	DET
ijassa-660	137	12	system	system	NOUN
ijassa-660	137	13	in	in	ADP
ijassa-660	137	14	comparison	comparison	NOUN
ijassa-660	137	15	with	with	ADP
ijassa-660	137	16	other	other	ADJ
ijassa-660	137	17	parameters	parameter	NOUN
ijassa-660	137	18	like	like	ADP
ijassa-660	137	19	latency	latency	NOUN
ijassa-660	137	20	or	or	CCONJ
ijassa-660	137	21	computation	computation	NOUN
ijassa-660	137	22	power	power	NOUN
ijassa-660	137	23	of	of	ADP
ijassa-660	137	24	drive	drive	ADJ
ijassa-660	137	25	enclosures	enclosure	NOUN
ijassa-660	137	26	.	.	PUNCT
ijassa-660	138	1	another	another	DET
ijassa-660	138	2	reason	reason	NOUN
ijassa-660	138	3	for	for	ADP
ijassa-660	138	4	reduction	reduction	NOUN
ijassa-660	138	5	of	of	ADP
ijassa-660	138	6	parameter	parameter	NOUN
ijassa-660	138	7	space	space	NOUN
ijassa-660	138	8	is	be	AUX
ijassa-660	138	9	an	an	DET
ijassa-660	138	10	exponentially	exponentially	ADV
ijassa-660	138	11	increasing	increase	VERB
ijassa-660	138	12	complexity	complexity	NOUN
ijassa-660	138	13	of	of	ADP
ijassa-660	138	14	optimization	optimization	NOUN
ijassa-660	138	15	problems	problem	NOUN
ijassa-660	138	16	.	.	PUNCT
ijassa-660	139	1	overall	overall	ADJ
ijassa-660	139	2	,	,	PUNCT
ijassa-660	139	3	neural	neural	ADJ
ijassa-660	139	4	network	network	NOUN
ijassa-660	139	5	generates	generate	VERB
ijassa-660	139	6	5	5	NUM
ijassa-660	139	7	parameters	parameter	NOUN
ijassa-660	139	8	:	:	PUNCT
ijassa-660	139	9	four	four	NUM
ijassa-660	139	10	parameters	parameter	NOUN
ijassa-660	139	11	account	account	VERB
ijassa-660	139	12	for	for	ADP
ijassa-660	139	13	computational	computational	ADJ
ijassa-660	139	14	power	power	NOUN
ijassa-660	139	15	of	of	ADP
ijassa-660	139	16	four	four	NUM
ijassa-660	139	17	storage	storage	NOUN
ijassa-660	139	18	controllers	controller	NOUN
ijassa-660	139	19	and	and	CCONJ
ijassa-660	139	20	the	the	DET
ijassa-660	139	21	fifth	fifth	ADJ
ijassa-660	139	22	one	one	NUM
ijassa-660	139	23	accounts	account	NOUN
ijassa-660	139	24	for	for	ADP
ijassa-660	139	25	bandwidth(figure	bandwidth(figure	NOUN
ijassa-660	139	26	5.5a	5.5a	NUM
ijassa-660	139	27	)	)	PUNCT
ijassa-660	139	28	.	.	PUNCT
ijassa-660	140	1	the	the	DET
ijassa-660	140	2	system	system	NOUN
ijassa-660	140	3	load	load	NOUN
ijassa-660	140	4	is	be	AUX
ijassa-660	140	5	modelled	model	VERB
ijassa-660	140	6	as	as	ADP
ijassa-660	140	7	poisson	poisson	NOUN
ijassa-660	140	8	process	process	NOUN
ijassa-660	140	9	with	with	ADP
ijassa-660	140	10	mean	mean	ADJ
ijassa-660	140	11	time	time	NOUN
ijassa-660	140	12	between	between	ADP
ijassa-660	140	13	incoming	incoming	ADJ
ijassa-660	140	14	files	file	NOUN
ijassa-660	140	15	equal	equal	ADJ
ijassa-660	140	16	τ̄	τ̄	PUNCT
ijassa-660	141	1	[	[	X
ijassa-660	141	2	s	s	X
ijassa-660	141	3	]	]	X
ijassa-660	141	4	.	.	PUNCT
ijassa-660	142	1	the	the	DET
ijassa-660	142	2	file	file	NOUN
ijassa-660	142	3	size	size	NOUN
ijassa-660	142	4	is	be	AUX
ijassa-660	142	5	modelled	model	VERB
ijassa-660	142	6	with	with	ADP
ijassa-660	142	7	exponential	exponential	ADJ
ijassa-660	142	8	distribution	distribution	NOUN
ijassa-660	142	9	parameterized	parameterize	VERB
ijassa-660	142	10	by	by	ADP
ijassa-660	142	11	average	average	ADJ
ijassa-660	142	12	file	file	NOUN
ijassa-660	142	13	size	size	NOUN
ijassa-660	142	14	s̄[mb	s̄[mb	NOUN
ijassa-660	142	15	]	]	X
ijassa-660	142	16	.	.	PUNCT
ijassa-660	143	1	for	for	ADP
ijassa-660	143	2	tuning	tune	VERB
ijassa-660	143	3	our	our	PRON
ijassa-660	143	4	algorithm	algorithm	NOUN
ijassa-660	143	5	we	we	PRON
ijassa-660	143	6	consider	consider	VERB
ijassa-660	143	7	a	a	DET
ijassa-660	143	8	finite	finite	ADJ
ijassa-660	143	9	set	set	NOUN
ijassa-660	143	10	of	of	ADP
ijassa-660	143	11	possible	possible	ADJ
ijassa-660	143	12	load	load	NOUN
ijassa-660	143	13	configurations	configuration	NOUN
ijassa-660	143	14	:	:	PUNCT
ijassa-660	144	1	l	l	X
ijassa-660	144	2	=	=	PUNCT
ijassa-660	144	3	s	s	VERB
ijassa-660	144	4	×	×	NOUN
ijassa-660	144	5	t	t	NOUN
ijassa-660	144	6	=	=	PUNCT
ijassa-660	144	7	{	{	PUNCT
ijassa-660	144	8	si}ni=1	si}ni=1	NOUN
ijassa-660	144	9	×	×	NOUN
ijassa-660	144	10	{	{	PUNCT
ijassa-660	144	11	τj}kj=1	τj}kj=1	PROPN
ijassa-660	144	12	.	.	PUNCT
ijassa-660	145	1	the	the	DET
ijassa-660	145	2	loads	load	NOUN
ijassa-660	145	3	for	for	ADP
ijassa-660	145	4	training	training	NOUN
ijassa-660	145	5	ltrain	ltrain	NOUN
ijassa-660	145	6	and	and	CCONJ
ijassa-660	145	7	loads	load	NOUN
ijassa-660	145	8	for	for	ADP
ijassa-660	145	9	validation	validation	NOUN
ijassa-660	145	10	ltest	ltest	NOUN
ijassa-660	145	11	are	be	AUX
ijassa-660	145	12	sampled	sample	VERB
ijassa-660	145	13	from	from	ADP
ijassa-660	145	14	uniform	uniform	ADJ
ijassa-660	145	15	distributions	distribution	NOUN
ijassa-660	145	16	on	on	ADP
ijassa-660	145	17	a	a	DET
ijassa-660	145	18	2d	2d	NOUN
ijassa-660	145	19	-	-	PUNCT
ijassa-660	145	20	grid	grid	NOUN
ijassa-660	145	21	(	(	PUNCT
ijassa-660	145	22	figure	figure	NOUN
ijassa-660	145	23	5.4	5.4	NUM
ijassa-660	145	24	)	)	PUNCT
ijassa-660	145	25	.	.	PUNCT
ijassa-660	146	1	it	it	PRON
ijassa-660	146	2	is	be	AUX
ijassa-660	146	3	important	important	ADJ
ijassa-660	146	4	to	to	PART
ijassa-660	146	5	note	note	VERB
ijassa-660	146	6	that	that	SCONJ
ijassa-660	146	7	ltrain	ltrain	NOUN
ijassa-660	146	8	and	and	CCONJ
ijassa-660	146	9	ltest	ltest	NOUN
ijassa-660	146	10	distributions	distribution	NOUN
ijassa-660	146	11	do	do	AUX
ijassa-660	146	12	not	not	PART
ijassa-660	146	13	overlap	overlap	VERB
ijassa-660	146	14	and	and	CCONJ
ijassa-660	146	15	this	this	PRON
ijassa-660	146	16	allows	allow	VERB
ijassa-660	146	17	us	we	PRON
ijassa-660	146	18	to	to	PART
ijassa-660	146	19	test	test	VERB
ijassa-660	146	20	generalization	generalization	NOUN
ijassa-660	146	21	of	of	ADP
ijassa-660	146	22	our	our	PRON
ijassa-660	146	23	model	model	NOUN
ijassa-660	146	24	on	on	ADP
ijassa-660	146	25	unseen	unseen	ADJ
ijassa-660	146	26	situations	situation	NOUN
ijassa-660	146	27	.	.	PUNCT
ijassa-660	147	1	we	we	PRON
ijassa-660	147	2	chose	choose	VERB
ijassa-660	147	3	quite	quite	ADV
ijassa-660	147	4	simple	simple	ADJ
ijassa-660	147	5	architecture	architecture	NOUN
ijassa-660	147	6	(	(	PUNCT
ijassa-660	147	7	figures	figure	NOUN
ijassa-660	147	8	5.5a	5.5a	NUM
ijassa-660	147	9	and	and	CCONJ
ijassa-660	147	10	5.5b	5.5b	NUM
ijassa-660	147	11	)	)	PUNCT
ijassa-660	147	12	,	,	PUNCT
ijassa-660	147	13	thus	thus	ADV
ijassa-660	147	14	allowing	allow	VERB
ijassa-660	147	15	us	we	PRON
ijassa-660	147	16	to	to	PART
ijassa-660	147	17	avoid	avoid	VERB
ijassa-660	147	18	over	over	ADP
ijassa-660	147	19	-	-	PUNCT
ijassa-660	147	20	fitting	fit	VERB
ijassa-660	147	21	and	and	CCONJ
ijassa-660	147	22	speed	speed	NOUN
ijassa-660	147	23	-	-	PUNCT
ijassa-660	147	24	up	up	ADP
ijassa-660	147	25	training	training	NOUN
ijassa-660	147	26	.	.	PUNCT
ijassa-660	148	1	the	the	DET
ijassa-660	148	2	pytorch	pytorch	NOUN
ijassa-660	149	1	[	[	X
ijassa-660	149	2	22	22	NUM
ijassa-660	149	3	]	]	PUNCT
ijassa-660	149	4	framework	framework	NOUN
ijassa-660	149	5	was	be	AUX
ijassa-660	149	6	used	use	VERB
ijassa-660	149	7	.	.	PUNCT
ijassa-660	150	1	at	at	ADP
ijassa-660	150	2	each	each	DET
ijassa-660	150	3	epoch	epoch	NOUN
ijassa-660	150	4	of	of	ADP
ijassa-660	150	5	training	train	VERB
ijassa-660	150	6	the	the	DET
ijassa-660	150	7	neural	neural	ADJ
ijassa-660	150	8	network	network	NOUN
ijassa-660	150	9	is	be	AUX
ijassa-660	150	10	fed	feed	VERB
ijassa-660	150	11	with	with	ADP
ijassa-660	150	12	data	datum	NOUN
ijassa-660	150	13	from	from	ADP
ijassa-660	150	14	40	40	NUM
ijassa-660	150	15	new	new	ADJ
ijassa-660	150	16	and	and	CCONJ
ijassa-660	150	17	40	40	NUM
ijassa-660	150	18	old	old	ADJ
ijassa-660	150	19	(	(	PUNCT
ijassa-660	150	20	experience	experience	NOUN
ijassa-660	150	21	replay	replay	NOUN
ijassa-660	150	22	)	)	PUNCT
ijassa-660	150	23	runs	run	NOUN
ijassa-660	150	24	of	of	ADP
ijassa-660	150	25	simulation	simulation	NOUN
ijassa-660	150	26	.	.	PUNCT
ijassa-660	151	1	fed	fed	PROPN
ijassa-660	151	2	data	data	PROPN
ijassa-660	151	3	is	be	AUX
ijassa-660	151	4	time	time	NOUN
ijassa-660	151	5	differences	difference	NOUN
ijassa-660	151	6	between	between	ADP
ijassa-660	151	7	the	the	DET
ijassa-660	151	8	outputs	output	NOUN
ijassa-660	151	9	of	of	ADP
ijassa-660	151	10	simulator(section	simulator(section	PROPN
ijassa-660	151	11	3.3	3.3	NUM
ijassa-660	151	12	)	)	PUNCT
ijassa-660	151	13	at	at	ADP
ijassa-660	151	14	the	the	DET
ijassa-660	151	15	moment	moment	NOUN
ijassa-660	151	16	t+	t+	VERB
ijassa-660	151	17	∆t	∆t	PROPN
ijassa-660	151	18	and	and	CCONJ
ijassa-660	151	19	t.	t.	NOUN
ijassa-660	151	20	optimization	optimization	NOUN
ijassa-660	151	21	is	be	AUX
ijassa-660	151	22	done	do	VERB
ijassa-660	151	23	with	with	ADP
ijassa-660	151	24	adam	adam	PROPN
ijassa-660	151	25	with	with	ADP
ijassa-660	151	26	learning	learn	VERB
ijassa-660	151	27	rate	rate	NOUN
ijassa-660	151	28	set	set	VERB
ijassa-660	151	29	to	to	ADP
ijassa-660	151	30	10−2	10−2	NUM
ijassa-660	151	31	and	and	CCONJ
ijassa-660	151	32	all	all	DET
ijassa-660	151	33	other	other	ADJ
ijassa-660	151	34	parameters	parameter	NOUN
ijassa-660	151	35	left	leave	VERB
ijassa-660	151	36	as	as	ADP
ijassa-660	151	37	default	default	NOUN
ijassa-660	151	38	.	.	PUNCT
ijassa-660	152	1	evaluation	evaluation	NOUN
ijassa-660	152	2	on	on	ADP
ijassa-660	152	3	validation	validation	NOUN
ijassa-660	152	4	set	set	NOUN
ijassa-660	152	5	of	of	ADP
ijassa-660	152	6	loads	load	NOUN
ijassa-660	152	7	is	be	AUX
ijassa-660	152	8	done	do	VERB
ijassa-660	152	9	every	every	DET
ijassa-660	152	10	20	20	NUM
ijassa-660	152	11	epochs	epoch	NOUN
ijassa-660	152	12	.	.	PUNCT
ijassa-660	153	1	5.2	5.2	NUM
ijassa-660	153	2	.	.	PUNCT
ijassa-660	153	3	results	result	NOUN
ijassa-660	153	4	we	we	PRON
ijassa-660	153	5	judge	judge	VERB
ijassa-660	153	6	our	our	PRON
ijassa-660	153	7	improvement	improvement	NOUN
ijassa-660	153	8	in	in	ADP
ijassa-660	153	9	simulation	simulation	NOUN
ijassa-660	153	10	by	by	ADP
ijassa-660	153	11	looking	look	VERB
ijassa-660	153	12	at	at	ADP
ijassa-660	153	13	difference	difference	NOUN
ijassa-660	153	14	in	in	ADP
ijassa-660	153	15	occupied	occupy	VERB
ijassa-660	153	16	storage	storage	NOUN
ijassa-660	153	17	space	space	NOUN
ijassa-660	153	18	(	(	PUNCT
ijassa-660	153	19	|sreft	|sreft	VERB
ijassa-660	153	20	−	−	PROPN
ijassa-660	153	21	scontrolledt	scontrolledt	ADJ
ijassa-660	153	22	|[b	|[b	PROPN
ijassa-660	153	23	]	]	PUNCT
ijassa-660	153	24	)	)	PUNCT
ijassa-660	153	25	.	.	PUNCT
ijassa-660	154	1	as	as	SCONJ
ijassa-660	154	2	can	can	AUX
ijassa-660	154	3	be	be	AUX
ijassa-660	154	4	noted	note	VERB
ijassa-660	154	5	,	,	PUNCT
ijassa-660	154	6	this	this	DET
ijassa-660	154	7	metric	metric	NOUN
ijassa-660	154	8	is	be	AUX
ijassa-660	154	9	the	the	DET
ijassa-660	154	10	first	first	ADJ
ijassa-660	154	11	part	part	NOUN
ijassa-660	154	12	of	of	ADP
ijassa-660	154	13	rt	rt	PROPN
ijassa-660	154	14	definition(section	definition(section	NOUN
ijassa-660	154	15	4.2	4.2	NUM
ijassa-660	154	16	)	)	PUNCT
ijassa-660	154	17	.	.	PUNCT
ijassa-660	155	1	it	it	PRON
ijassa-660	155	2	was	be	AUX
ijassa-660	155	3	chosen	choose	VERB
ijassa-660	155	4	for	for	ADP
ijassa-660	155	5	comparison	comparison	NOUN
ijassa-660	155	6	mostly	mostly	ADV
ijassa-660	155	7	due	due	ADJ
ijassa-660	155	8	to	to	ADP
ijassa-660	155	9	simplicity	simplicity	NOUN
ijassa-660	155	10	of	of	ADP
ijassa-660	155	11	interpretability	interpretability	NOUN
ijassa-660	155	12	.	.	PUNCT
ijassa-660	156	1	copyright	copyright	NOUN
ijassa-660	156	2	c	c	ADP
ijassa-660	156	3	©	©	PROPN
ijassa-660	156	4	2018	2018	NUM
ijassa-660	156	5	assa	assa	NOUN
ijassa-660	156	6	.	.	PUNCT
ijassa-660	157	1	adv	adv	PROPN
ijassa-660	157	2	syst	syst	PROPN
ijassa-660	157	3	sci	sci	PROPN
ijassa-660	157	4	appl	appl	PROPN
ijassa-660	157	5	(	(	PUNCT
ijassa-660	157	6	2018	2018	NUM
ijassa-660	157	7	)	)	PUNCT
ijassa-660	157	8	tuning	tune	VERB
ijassa-660	157	9	dss	dss	NOUN
ijassa-660	157	10	digital	digital	ADJ
ijassa-660	157	11	twins	twin	NOUN
ijassa-660	157	12	with	with	ADP
ijassa-660	157	13	rl	rl	PROPN
ijassa-660	157	14	9	9	NUM
ijassa-660	157	15	input	input	NOUN
ijassa-660	157	16	dim	dim	ADJ
ijassa-660	157	17	data	datum	NOUN
ijassa-660	157	18	16	16	NUM
ijassa-660	157	19	tanh	tanh	NOUN
ijassa-660	157	20	speed	speed	NOUN
ijassa-660	157	21	of	of	ADP
ijassa-660	157	22	controller	controller	NOUN
ijassa-660	157	23	1	1	NUM
ijassa-660	157	24	speed	speed	NOUN
ijassa-660	157	25	of	of	ADP
ijassa-660	157	26	controller	controller	NOUN
ijassa-660	157	27	2	2	NUM
ijassa-660	157	28	speed	speed	NOUN
ijassa-660	157	29	of	of	ADP
ijassa-660	157	30	controller	controller	NOUN
ijassa-660	157	31	3	3	NUM
ijassa-660	157	32	speed	speed	NOUN
ijassa-660	157	33	of	of	ADP
ijassa-660	157	34	controller	controller	NOUN
ijassa-660	157	35	4	4	NUM
ijassa-660	157	36	bandwidth	bandwidth	NOUN
ijassa-660	157	37	(	(	PUNCT
ijassa-660	157	38	a	a	DET
ijassa-660	157	39	)	)	PUNCT
ijassa-660	157	40	actor	actor	NOUN
ijassa-660	157	41	architecture	architecture	NOUN
ijassa-660	157	42	input	input	NOUN
ijassa-660	157	43	dim	dim	ADJ
ijassa-660	157	44	data	datum	NOUN
ijassa-660	157	45	actor	actor	NOUN
ijassa-660	157	46	dim	dim	ADJ
ijassa-660	157	47	actor	actor	NOUN
ijassa-660	157	48	4	4	NUM
ijassa-660	157	49	tanh	tanh	PROPN
ijassa-660	157	50	1	1	NUM
ijassa-660	157	51	(	(	PUNCT
ijassa-660	157	52	b	b	NOUN
ijassa-660	157	53	)	)	PUNCT
ijassa-660	157	54	critic	critic	ADJ
ijassa-660	157	55	architecture	architecture	NOUN
ijassa-660	157	56	fig	fig	NOUN
ijassa-660	157	57	.	.	PUNCT
ijassa-660	158	1	5.5	5.5	NUM
ijassa-660	158	2	the	the	DET
ijassa-660	158	3	improvement	improvement	NOUN
ijassa-660	158	4	of	of	ADP
ijassa-660	158	5	the	the	DET
ijassa-660	158	6	metric	metric	NOUN
ijassa-660	158	7	on	on	ADP
ijassa-660	158	8	the	the	DET
ijassa-660	158	9	training	training	NOUN
ijassa-660	158	10	set	set	NOUN
ijassa-660	158	11	of	of	ADP
ijassa-660	158	12	loads	load	NOUN
ijassa-660	158	13	(	(	PUNCT
ijassa-660	158	14	figure	figure	NOUN
ijassa-660	158	15	5.6a	5.6a	NUM
ijassa-660	158	16	)	)	PUNCT
ijassa-660	158	17	and	and	CCONJ
ijassa-660	158	18	validation	validation	NOUN
ijassa-660	158	19	set	set	NOUN
ijassa-660	158	20	of	of	ADP
ijassa-660	158	21	loads	load	NOUN
ijassa-660	158	22	(	(	PUNCT
ijassa-660	158	23	figure	figure	NOUN
ijassa-660	158	24	5.6b	5.6b	NUM
ijassa-660	158	25	)	)	PUNCT
ijassa-660	158	26	have	have	VERB
ijassa-660	158	27	a	a	DET
ijassa-660	158	28	similar	similar	ADJ
ijassa-660	158	29	pattern	pattern	NOUN
ijassa-660	158	30	.	.	PUNCT
ijassa-660	159	1	taking	take	VERB
ijassa-660	159	2	this	this	PRON
ijassa-660	159	3	into	into	ADP
ijassa-660	159	4	account	account	NOUN
ijassa-660	159	5	,	,	PUNCT
ijassa-660	159	6	two	two	NUM
ijassa-660	159	7	conclusions	conclusion	NOUN
ijassa-660	159	8	may	may	AUX
ijassa-660	159	9	be	be	AUX
ijassa-660	159	10	derived	derive	VERB
ijassa-660	159	11	:	:	PUNCT
ijassa-660	159	12	•	•	ADP
ijassa-660	159	13	our	our	PRON
ijassa-660	159	14	agent	agent	NOUN
ijassa-660	159	15	(	(	PUNCT
ijassa-660	159	16	neural	neural	ADJ
ijassa-660	159	17	network	network	NOUN
ijassa-660	159	18	)	)	PUNCT
ijassa-660	159	19	is	be	AUX
ijassa-660	159	20	able	able	ADJ
ijassa-660	159	21	to	to	PART
ijassa-660	159	22	tune	tune	VERB
ijassa-660	159	23	the	the	DET
ijassa-660	159	24	parameters	parameter	NOUN
ijassa-660	159	25	of	of	ADP
ijassa-660	159	26	the	the	DET
ijassa-660	159	27	simulation	simulation	NOUN
ijassa-660	159	28	and	and	CCONJ
ijassa-660	159	29	make	make	VERB
ijassa-660	159	30	it	it	PRON
ijassa-660	159	31	similar	similar	ADJ
ijassa-660	159	32	to	to	ADP
ijassa-660	159	33	the	the	DET
ijassa-660	159	34	target	target	NOUN
ijassa-660	159	35	system	system	NOUN
ijassa-660	159	36	;	;	PUNCT
ijassa-660	159	37	•	•	NUM
ijassa-660	159	38	the	the	DET
ijassa-660	159	39	trained	train	VERB
ijassa-660	159	40	neural	neural	ADJ
ijassa-660	159	41	network	network	NOUN
ijassa-660	159	42	is	be	AUX
ijassa-660	159	43	robust	robust	ADJ
ijassa-660	159	44	and	and	CCONJ
ijassa-660	159	45	capable	capable	ADJ
ijassa-660	159	46	of	of	ADP
ijassa-660	159	47	generalizing	generalize	VERB
ijassa-660	159	48	on	on	ADP
ijassa-660	159	49	unseen	unseen	ADJ
ijassa-660	159	50	situations	situation	NOUN
ijassa-660	159	51	.	.	PUNCT
ijassa-660	160	1	(	(	PUNCT
ijassa-660	160	2	a	a	X
ijassa-660	160	3	)	)	PUNCT
ijassa-660	160	4	(	(	PUNCT
ijassa-660	160	5	b	b	X
ijassa-660	160	6	)	)	PUNCT
ijassa-660	160	7	fig	fig	NOUN
ijassa-660	160	8	.	.	PUNCT
ijassa-660	161	1	5.6	5.6	NUM
ijassa-660	161	2	.	.	PUNCT
ijassa-660	161	3	averaged	average	VERB
ijassa-660	161	4	metric	metric	ADJ
ijassa-660	161	5	with	with	ADP
ijassa-660	161	6	confidence	confidence	NOUN
ijassa-660	161	7	interval	interval	NOUN
ijassa-660	161	8	on	on	ADP
ijassa-660	161	9	training	training	NOUN
ijassa-660	161	10	(	(	PUNCT
ijassa-660	161	11	left	left	ADJ
ijassa-660	161	12	)	)	PUNCT
ijassa-660	161	13	and	and	CCONJ
ijassa-660	161	14	validation	validation	NOUN
ijassa-660	161	15	(	(	PUNCT
ijassa-660	161	16	right	right	ADJ
ijassa-660	161	17	)	)	PUNCT
ijassa-660	161	18	set	set	NOUN
ijassa-660	161	19	of	of	ADP
ijassa-660	161	20	loads	load	NOUN
ijassa-660	161	21	.	.	PUNCT
ijassa-660	162	1	lower	low	ADJ
ijassa-660	162	2	is	be	AUX
ijassa-660	162	3	better	well	ADJ
ijassa-660	162	4	.	.	PUNCT
ijassa-660	163	1	at	at	ADP
ijassa-660	163	2	figure	figure	NOUN
ijassa-660	163	3	5.7a	5.7a	NUM
ijassa-660	163	4	and	and	CCONJ
ijassa-660	163	5	figure	figure	VERB
ijassa-660	163	6	5.7b	5.7b	NOUN
ijassa-660	163	7	one	one	PRON
ijassa-660	163	8	can	can	AUX
ijassa-660	163	9	see	see	VERB
ijassa-660	163	10	metric(rt	metric(rt	NOUN
ijassa-660	163	11	)	)	PUNCT
ijassa-660	163	12	dependence	dependence	NOUN
ijassa-660	163	13	from	from	ADP
ijassa-660	163	14	simulation	simulation	NOUN
ijassa-660	163	15	time	time	NOUN
ijassa-660	163	16	and	and	CCONJ
ijassa-660	163	17	epoch	epoch	NOUN
ijassa-660	163	18	number	number	NOUN
ijassa-660	163	19	.	.	PUNCT
ijassa-660	164	1	as	as	SCONJ
ijassa-660	164	2	expected	expect	VERB
ijassa-660	164	3	,	,	PUNCT
ijassa-660	164	4	the	the	DET
ijassa-660	164	5	distance	distance	NOUN
ijassa-660	164	6	between	between	ADP
ijassa-660	164	7	the	the	DET
ijassa-660	164	8	hybrid	hybrid	NOUN
ijassa-660	164	9	and	and	CCONJ
ijassa-660	164	10	target	target	NOUN
ijassa-660	164	11	systems	system	NOUN
ijassa-660	164	12	is	be	AUX
ijassa-660	164	13	increasing	increase	VERB
ijassa-660	164	14	while	while	SCONJ
ijassa-660	164	15	simulation	simulation	NOUN
ijassa-660	164	16	time	time	NOUN
ijassa-660	164	17	is	be	AUX
ijassa-660	164	18	growing	grow	VERB
ijassa-660	164	19	,	,	PUNCT
ijassa-660	164	20	i.e.	i.e.	X
ijassa-660	164	21	we	we	PRON
ijassa-660	164	22	are	be	AUX
ijassa-660	164	23	observing	observe	VERB
ijassa-660	164	24	the	the	DET
ijassa-660	164	25	disorder	disorder	NOUN
ijassa-660	164	26	between	between	ADP
ijassa-660	164	27	two	two	NUM
ijassa-660	164	28	processes	process	NOUN
ijassa-660	164	29	.	.	PUNCT
ijassa-660	165	1	this	this	DET
ijassa-660	165	2	disorder	disorder	NOUN
ijassa-660	165	3	diminishes	diminish	VERB
ijassa-660	165	4	during	during	ADP
ijassa-660	165	5	training	training	NOUN
ijassa-660	165	6	of	of	ADP
ijassa-660	165	7	neural	neural	ADJ
ijassa-660	165	8	network	network	NOUN
ijassa-660	165	9	making	make	VERB
ijassa-660	165	10	system	system	NOUN
ijassa-660	165	11	more	more	ADJ
ijassa-660	165	12	and	and	CCONJ
ijassa-660	165	13	more	more	ADV
ijassa-660	165	14	compliant	compliant	ADJ
ijassa-660	165	15	.	.	PUNCT
ijassa-660	166	1	6	6	X
ijassa-660	166	2	.	.	X
ijassa-660	166	3	conclusion	conclusion	NOUN
ijassa-660	166	4	we	we	PRON
ijassa-660	166	5	demonstrated	demonstrate	VERB
ijassa-660	166	6	the	the	DET
ijassa-660	166	7	viability	viability	NOUN
ijassa-660	166	8	of	of	ADP
ijassa-660	166	9	our	our	PRON
ijassa-660	166	10	approach	approach	NOUN
ijassa-660	166	11	with	with	ADP
ijassa-660	166	12	a	a	DET
ijassa-660	166	13	fusion	fusion	NOUN
ijassa-660	166	14	of	of	ADP
ijassa-660	166	15	conventional	conventional	ADJ
ijassa-660	166	16	simulation	simulation	NOUN
ijassa-660	166	17	techniques	technique	NOUN
ijassa-660	166	18	and	and	CCONJ
ijassa-660	166	19	rl	rl	NOUN
ijassa-660	166	20	-	-	PUNCT
ijassa-660	166	21	trained	train	VERB
ijassa-660	166	22	neural	neural	ADJ
ijassa-660	166	23	network	network	NOUN
ijassa-660	166	24	on	on	ADP
ijassa-660	166	25	the	the	DET
ijassa-660	166	26	problem	problem	NOUN
ijassa-660	166	27	of	of	ADP
ijassa-660	166	28	optimization	optimization	NOUN
ijassa-660	166	29	of	of	ADP
ijassa-660	166	30	discrete	discrete	ADJ
ijassa-660	166	31	event	event	NOUN
ijassa-660	166	32	copyright	copyright	NOUN
ijassa-660	166	33	c	c	ADP
ijassa-660	166	34	©	©	PROPN
ijassa-660	166	35	2018	2018	NUM
ijassa-660	166	36	assa	assa	NOUN
ijassa-660	166	37	.	.	PUNCT
ijassa-660	167	1	adv	adv	PROPN
ijassa-660	167	2	syst	syst	PROPN
ijassa-660	167	3	sci	sci	PROPN
ijassa-660	167	4	appl	appl	PROPN
ijassa-660	167	5	(	(	PUNCT
ijassa-660	167	6	2018	2018	NUM
ijassa-660	167	7	)	)	PUNCT
ijassa-660	167	8	10	10	NUM
ijassa-660	167	9	v.	v.	ADP
ijassa-660	167	10	belavin	belavin	PROPN
ijassa-660	167	11	et	et	PROPN
ijassa-660	167	12	al	al	PROPN
ijassa-660	167	13	.	.	PUNCT
ijassa-660	168	1	(	(	PUNCT
ijassa-660	168	2	a	a	X
ijassa-660	168	3	)	)	PUNCT
ijassa-660	168	4	(	(	PUNCT
ijassa-660	168	5	b	b	X
ijassa-660	168	6	)	)	PUNCT
ijassa-660	168	7	fig	fig	NOUN
ijassa-660	168	8	.	.	PUNCT
ijassa-660	169	1	5.7	5.7	NUM
ijassa-660	169	2	.	.	PUNCT
ijassa-660	170	1	contour	contour	NOUN
ijassa-660	170	2	plot	plot	NOUN
ijassa-660	170	3	of	of	ADP
ijassa-660	170	4	logarithm	logarithm	NOUN
ijassa-660	170	5	of	of	ADP
ijassa-660	170	6	the	the	DET
ijassa-660	170	7	metric	metric	NOUN
ijassa-660	170	8	as	as	ADP
ijassa-660	170	9	a	a	DET
ijassa-660	170	10	function	function	NOUN
ijassa-660	170	11	of	of	ADP
ijassa-660	170	12	simulation	simulation	NOUN
ijassa-660	170	13	time	time	NOUN
ijassa-660	170	14	(	(	PUNCT
ijassa-660	170	15	vertical	vertical	ADJ
ijassa-660	170	16	axis	axis	NOUN
ijassa-660	170	17	)	)	PUNCT
ijassa-660	170	18	and	and	CCONJ
ijassa-660	170	19	epoch	epoch	NOUN
ijassa-660	170	20	(	(	PUNCT
ijassa-660	170	21	horizontal	horizontal	ADJ
ijassa-660	170	22	axis	axis	NOUN
ijassa-660	170	23	)	)	PUNCT
ijassa-660	170	24	during	during	ADP
ijassa-660	170	25	training	training	NOUN
ijassa-660	170	26	(	(	PUNCT
ijassa-660	170	27	left	left	ADJ
ijassa-660	170	28	)	)	PUNCT
ijassa-660	170	29	and	and	CCONJ
ijassa-660	170	30	validation	validation	NOUN
ijassa-660	170	31	(	(	PUNCT
ijassa-660	170	32	right	right	NOUN
ijassa-660	170	33	)	)	PUNCT
ijassa-660	170	34	.	.	PUNCT
ijassa-660	171	1	simulator	simulator	NOUN
ijassa-660	171	2	of	of	ADP
ijassa-660	171	3	the	the	DET
ijassa-660	171	4	distributed	distribute	VERB
ijassa-660	171	5	storage	storage	NOUN
ijassa-660	171	6	system	system	NOUN
ijassa-660	171	7	.	.	PUNCT
ijassa-660	172	1	in	in	ADP
ijassa-660	172	2	this	this	DET
ijassa-660	172	3	setup	setup	NOUN
ijassa-660	172	4	,	,	PUNCT
ijassa-660	172	5	a	a	DET
ijassa-660	172	6	neural	neural	ADJ
ijassa-660	172	7	network	network	NOUN
ijassa-660	172	8	is	be	AUX
ijassa-660	172	9	trained	train	VERB
ijassa-660	172	10	by	by	ADP
ijassa-660	172	11	the	the	DET
ijassa-660	172	12	reinforcement	reinforcement	NOUN
ijassa-660	172	13	learning	learn	VERB
ijassa-660	172	14	algorithm	algorithm	NOUN
ijassa-660	172	15	to	to	PART
ijassa-660	172	16	find	find	VERB
ijassa-660	172	17	an	an	DET
ijassa-660	172	18	optimal	optimal	ADJ
ijassa-660	172	19	control	control	NOUN
ijassa-660	172	20	strategy	strategy	NOUN
ijassa-660	172	21	for	for	ADP
ijassa-660	172	22	parameters	parameter	NOUN
ijassa-660	172	23	of	of	ADP
ijassa-660	172	24	the	the	DET
ijassa-660	172	25	simulator	simulator	NOUN
ijassa-660	172	26	.	.	PUNCT
ijassa-660	173	1	the	the	DET
ijassa-660	173	2	hybrid	hybrid	ADJ
ijassa-660	173	3	simulator	simulator	NOUN
ijassa-660	173	4	has	have	VERB
ijassa-660	173	5	a	a	DET
ijassa-660	173	6	wide	wide	ADJ
ijassa-660	173	7	range	range	NOUN
ijassa-660	173	8	of	of	ADP
ijassa-660	173	9	benefits	benefit	NOUN
ijassa-660	173	10	in	in	ADP
ijassa-660	173	11	comparison	comparison	NOUN
ijassa-660	173	12	with	with	ADP
ijassa-660	173	13	vanilla	vanilla	NOUN
ijassa-660	173	14	simulators	simulator	NOUN
ijassa-660	173	15	:	:	PUNCT
ijassa-660	173	16	simplified	simplify	VERB
ijassa-660	173	17	customization	customization	NOUN
ijassa-660	173	18	of	of	ADP
ijassa-660	173	19	the	the	DET
ijassa-660	173	20	simulator	simulator	NOUN
ijassa-660	173	21	;	;	PUNCT
ijassa-660	173	22	ability	ability	NOUN
ijassa-660	173	23	to	to	PART
ijassa-660	173	24	infer	infer	VERB
ijassa-660	173	25	patterns	pattern	NOUN
ijassa-660	173	26	from	from	ADP
ijassa-660	173	27	data	datum	NOUN
ijassa-660	173	28	.	.	PUNCT
ijassa-660	174	1	and	and	CCONJ
ijassa-660	174	2	in	in	ADP
ijassa-660	174	3	contrast	contrast	NOUN
ijassa-660	174	4	with	with	ADP
ijassa-660	174	5	gans	gan	NOUN
ijassa-660	174	6	,	,	PUNCT
ijassa-660	174	7	it	it	PRON
ijassa-660	174	8	has	have	VERB
ijassa-660	174	9	interpretable	interpretable	ADJ
ijassa-660	174	10	behavior	behavior	NOUN
ijassa-660	174	11	and	and	CCONJ
ijassa-660	174	12	ability	ability	NOUN
ijassa-660	174	13	to	to	PART
ijassa-660	174	14	generalize	generalize	VERB
ijassa-660	174	15	on	on	ADP
ijassa-660	174	16	partially	partially	ADV
ijassa-660	174	17	unseen	unseen	ADJ
ijassa-660	174	18	scenarios	scenario	NOUN
ijassa-660	174	19	.	.	PUNCT
ijassa-660	175	1	further	further	ADJ
ijassa-660	175	2	research	research	NOUN
ijassa-660	175	3	may	may	AUX
ijassa-660	175	4	cover	cover	VERB
ijassa-660	175	5	such	such	ADJ
ijassa-660	175	6	steps	step	NOUN
ijassa-660	175	7	as	as	ADP
ijassa-660	175	8	:	:	PUNCT
ijassa-660	175	9	•	•	NOUN
ijassa-660	175	10	increase	increase	NOUN
ijassa-660	175	11	complexity	complexity	NOUN
ijassa-660	175	12	of	of	ADP
ijassa-660	175	13	the	the	DET
ijassa-660	175	14	system	system	NOUN
ijassa-660	175	15	under	under	ADP
ijassa-660	175	16	control	control	NOUN
ijassa-660	175	17	by	by	ADP
ijassa-660	175	18	adding	add	VERB
ijassa-660	175	19	more	more	ADJ
ijassa-660	175	20	control	control	NOUN
ijassa-660	175	21	parameters	parameter	NOUN
ijassa-660	175	22	;	;	PUNCT
ijassa-660	175	23	•	•	NUM
ijassa-660	175	24	assess	assess	VERB
ijassa-660	175	25	the	the	DET
ijassa-660	175	26	sensitivity	sensitivity	NOUN
ijassa-660	175	27	of	of	ADP
ijassa-660	175	28	the	the	DET
ijassa-660	175	29	agent	agent	NOUN
ijassa-660	175	30	to	to	ADP
ijassa-660	175	31	the	the	DET
ijassa-660	175	32	choice	choice	NOUN
ijassa-660	175	33	of	of	ADP
ijassa-660	175	34	reward	reward	NOUN
ijassa-660	175	35	functions	function	NOUN
ijassa-660	175	36	;	;	PUNCT
ijassa-660	175	37	•	•	NUM
ijassa-660	175	38	build	build	VERB
ijassa-660	175	39	and	and	CCONJ
ijassa-660	175	40	validate	validate	VERB
ijassa-660	175	41	the	the	DET
ijassa-660	175	42	approach	approach	NOUN
ijassa-660	175	43	on	on	ADP
ijassa-660	175	44	a	a	DET
ijassa-660	175	45	realistic	realistic	ADJ
ijassa-660	175	46	multiparametric	multiparametric	ADJ
ijassa-660	175	47	data	datum	NOUN
ijassa-660	175	48	sample	sample	NOUN
ijassa-660	175	49	.	.	PUNCT
ijassa-660	176	1	7	7	X
ijassa-660	176	2	.	.	X
ijassa-660	176	3	acknowledgements	acknowledgement	NOUN
ijassa-660	176	4	the	the	DET
ijassa-660	176	5	research	research	NOUN
ijassa-660	176	6	was	be	AUX
ijassa-660	176	7	carried	carry	VERB
ijassa-660	176	8	out	out	ADP
ijassa-660	176	9	with	with	ADP
ijassa-660	176	10	the	the	DET
ijassa-660	176	11	financial	financial	ADJ
ijassa-660	176	12	support	support	NOUN
ijassa-660	176	13	of	of	ADP
ijassa-660	176	14	the	the	DET
ijassa-660	176	15	ministry	ministry	PROPN
ijassa-660	176	16	of	of	ADP
ijassa-660	176	17	science	science	PROPN
ijassa-660	176	18	and	and	CCONJ
ijassa-660	176	19	higher	high	ADJ
ijassa-660	176	20	education	education	NOUN
ijassa-660	176	21	of	of	ADP
ijassa-660	176	22	russian	russian	PROPN
ijassa-660	176	23	federation	federation	PROPN
ijassa-660	176	24	within	within	ADP
ijassa-660	176	25	the	the	DET
ijassa-660	176	26	framework	framework	NOUN
ijassa-660	176	27	of	of	ADP
ijassa-660	176	28	the	the	DET
ijassa-660	176	29	federal	federal	ADJ
ijassa-660	176	30	target	target	NOUN
ijassa-660	176	31	program	program	NOUN
ijassa-660	176	32	“	"	PUNCT
ijassa-660	176	33	research	research	NOUN
ijassa-660	176	34	and	and	CCONJ
ijassa-660	176	35	development	development	NOUN
ijassa-660	176	36	in	in	ADP
ijassa-660	176	37	priority	priority	NOUN
ijassa-660	176	38	areas	area	NOUN
ijassa-660	176	39	of	of	ADP
ijassa-660	176	40	the	the	DET
ijassa-660	176	41	development	development	NOUN
ijassa-660	176	42	of	of	ADP
ijassa-660	176	43	the	the	DET
ijassa-660	176	44	scientific	scientific	ADJ
ijassa-660	176	45	and	and	CCONJ
ijassa-660	176	46	technological	technological	ADJ
ijassa-660	176	47	complex	complex	NOUN
ijassa-660	176	48	of	of	ADP
ijassa-660	176	49	russia	russia	PROPN
ijassa-660	176	50	for	for	ADP
ijassa-660	176	51	2014	2014	NUM
ijassa-660	176	52	-	-	SYM
ijassa-660	176	53	2020	2020	NUM
ijassa-660	176	54	”	"	PUNCT
ijassa-660	176	55	.	.	PUNCT
ijassa-660	177	1	unique	unique	ADJ
ijassa-660	177	2	identifier	identifier	NOUN
ijassa-660	177	3	–	–	PUNCT
ijassa-660	177	4	rfmefi58117x0023	rfmefi58117x0023	NOUN
ijassa-660	177	5	,	,	PUNCT
ijassa-660	177	6	agreement	agreement	NOUN
ijassa-660	177	7	14.581.21.0023	14.581.21.0023	NUM
ijassa-660	177	8	on	on	ADP
ijassa-660	177	9	03.10.2017	03.10.2017	NOUN
ijassa-660	177	10	.	.	PUNCT
ijassa-660	178	1	references	reference	NOUN
ijassa-660	178	2	1	1	NUM
ijassa-660	178	3	.	.	X
ijassa-660	179	1	tao	tao	PROPN
ijassa-660	179	2	,	,	PUNCT
ijassa-660	179	3	f.	f.	PROPN
ijassa-660	179	4	,	,	PUNCT
ijassa-660	179	5	cheng	cheng	PROPN
ijassa-660	179	6	,	,	PUNCT
ijassa-660	179	7	j.	j.	PROPN
ijassa-660	179	8	,	,	PUNCT
ijassa-660	179	9	qi	qi	PROPN
ijassa-660	179	10	,	,	PUNCT
ijassa-660	179	11	q.	q.	PROPN
ijassa-660	179	12	,	,	PUNCT
ijassa-660	179	13	zhang	zhang	PROPN
ijassa-660	179	14	,	,	PUNCT
ijassa-660	179	15	m.	m.	NOUN
ijassa-660	179	16	,	,	PUNCT
ijassa-660	179	17	zhang	zhang	PROPN
ijassa-660	179	18	,	,	PUNCT
ijassa-660	179	19	h.	h.	PROPN
ijassa-660	179	20	,	,	PUNCT
ijassa-660	179	21	&	&	CCONJ
ijassa-660	179	22	sui	sui	PROPN
ijassa-660	179	23	,	,	PUNCT
ijassa-660	179	24	f.	f.	PROPN
ijassa-660	179	25	(	(	PUNCT
ijassa-660	179	26	2018	2018	NUM
ijassa-660	179	27	)	)	PUNCT
ijassa-660	179	28	digital	digital	ADJ
ijassa-660	179	29	twin	twin	ADJ
ijassa-660	179	30	-	-	PUNCT
ijassa-660	179	31	driven	drive	VERB
ijassa-660	179	32	product	product	NOUN
ijassa-660	179	33	design	design	NOUN
ijassa-660	179	34	,	,	PUNCT
ijassa-660	179	35	manufacturing	manufacturing	NOUN
ijassa-660	179	36	and	and	CCONJ
ijassa-660	179	37	service	service	NOUN
ijassa-660	179	38	with	with	ADP
ijassa-660	179	39	big	big	ADJ
ijassa-660	179	40	data	datum	NOUN
ijassa-660	179	41	.	.	PUNCT
ijassa-660	180	1	the	the	DET
ijassa-660	180	2	international	international	ADJ
ijassa-660	180	3	journal	journal	NOUN
ijassa-660	180	4	of	of	ADP
ijassa-660	180	5	advanced	advanced	ADJ
ijassa-660	180	6	manufacturing	manufacturing	NOUN
ijassa-660	180	7	technology	technology	NOUN
ijassa-660	180	8	,	,	PUNCT
ijassa-660	180	9	94	94	NUM
ijassa-660	180	10	,	,	PUNCT
ijassa-660	180	11	3563–3576	3563–3576	NUM
ijassa-660	180	12	,	,	PUNCT
ijassa-660	180	13	https://dx.doi.org/10.1007/s00170-017-0233-1	https://dx.doi.org/10.1007/s00170-017-0233-1	PROPN
ijassa-660	180	14	.	.	PROPN
ijassa-660	181	1	2	2	NUM
ijassa-660	181	2	.	.	X
ijassa-660	181	3	aaron	aaron	PROPN
ijassa-660	181	4	parrott	parrott	PROPN
ijassa-660	181	5	,	,	PUNCT
ijassa-660	181	6	l.	l.	PROPN
ijassa-660	181	7	w.	w.	PROPN
ijassa-660	181	8	(	(	PUNCT
ijassa-660	181	9	2017	2017	NUM
ijassa-660	181	10	)	)	PUNCT
ijassa-660	181	11	industry	industry	NOUN
ijassa-660	181	12	4.0	4.0	NUM
ijassa-660	181	13	and	and	CCONJ
ijassa-660	181	14	the	the	DET
ijassa-660	181	15	digital	digital	ADJ
ijassa-660	181	16	twin	twin	NOUN
ijassa-660	181	17	:	:	PUNCT
ijassa-660	181	18	manufacturing	manufacturing	NOUN
ijassa-660	181	19	meets	meet	VERB
ijassa-660	181	20	its	its	PRON
ijassa-660	181	21	match	match	NOUN
ijassa-660	181	22	.	.	PUNCT
ijassa-660	182	1	p.	p.	NOUN
ijassa-660	182	2	110	110	NUM
ijassa-660	182	3	.	.	PUNCT
ijassa-660	183	1	3	3	X
ijassa-660	183	2	.	.	X
ijassa-660	183	3	goodfellow	goodfellow	PROPN
ijassa-660	183	4	,	,	PUNCT
ijassa-660	183	5	i.	i.	PROPN
ijassa-660	183	6	j.	j.	PROPN
ijassa-660	183	7	,	,	PUNCT
ijassa-660	183	8	pouget	pouget	NOUN
ijassa-660	183	9	-	-	PUNCT
ijassa-660	183	10	abadie	abadie	ADJ
ijassa-660	183	11	,	,	PUNCT
ijassa-660	183	12	j.	j.	PROPN
ijassa-660	183	13	,	,	PUNCT
ijassa-660	183	14	mirza	mirza	PROPN
ijassa-660	183	15	,	,	PUNCT
ijassa-660	183	16	m.	m.	NOUN
ijassa-660	183	17	,	,	PUNCT
ijassa-660	183	18	xu	xu	PROPN
ijassa-660	183	19	,	,	PUNCT
ijassa-660	183	20	b.	b.	PROPN
ijassa-660	183	21	,	,	PUNCT
ijassa-660	183	22	warde	warde	PROPN
ijassa-660	183	23	-	-	PUNCT
ijassa-660	183	24	farley	farley	PROPN
ijassa-660	183	25	,	,	PUNCT
ijassa-660	183	26	d.	d.	PROPN
ijassa-660	183	27	,	,	PUNCT
ijassa-660	183	28	ozair	ozair	PROPN
ijassa-660	183	29	,	,	PUNCT
ijassa-660	183	30	s.	s.	PROPN
ijassa-660	183	31	,	,	PUNCT
ijassa-660	183	32	courville	courville	NOUN
ijassa-660	183	33	,	,	PUNCT
ijassa-660	183	34	a.	a.	NOUN
ijassa-660	183	35	,	,	PUNCT
ijassa-660	183	36	&	&	CCONJ
ijassa-660	183	37	bengio	bengio	PROPN
ijassa-660	183	38	,	,	PUNCT
ijassa-660	183	39	y.	y.	PROPN
ijassa-660	183	40	(	(	PUNCT
ijassa-660	183	41	2014	2014	NUM
ijassa-660	183	42	)	)	PUNCT
ijassa-660	183	43	generative	generative	ADJ
ijassa-660	183	44	adversarial	adversarial	ADJ
ijassa-660	183	45	networks	network	NOUN
ijassa-660	183	46	.	.	PUNCT
ijassa-660	184	1	arxiv	arxiv	PROPN
ijassa-660	184	2	e	e	PROPN
ijassa-660	185	1	-	-	NOUN
ijassa-660	186	1	prints	print	NOUN
ijassa-660	186	2	.	.	PUNCT
ijassa-660	187	1	4	4	X
ijassa-660	187	2	.	.	X
ijassa-660	187	3	doshi	doshi	PROPN
ijassa-660	187	4	-	-	PUNCT
ijassa-660	187	5	velez	velez	PROPN
ijassa-660	187	6	,	,	PUNCT
ijassa-660	187	7	f.	f.	PROPN
ijassa-660	187	8	&	&	CCONJ
ijassa-660	187	9	kim	kim	PROPN
ijassa-660	187	10	,	,	PUNCT
ijassa-660	187	11	b.	b.	PROPN
ijassa-660	187	12	(	(	PUNCT
ijassa-660	187	13	2017	2017	NUM
ijassa-660	187	14	)	)	PUNCT
ijassa-660	187	15	,	,	PUNCT
ijassa-660	187	16	towards	towards	ADP
ijassa-660	187	17	a	a	DET
ijassa-660	187	18	rigorous	rigorous	ADJ
ijassa-660	187	19	science	science	NOUN
ijassa-660	187	20	of	of	ADP
ijassa-660	187	21	interpretable	interpretable	ADJ
ijassa-660	187	22	machine	machine	NOUN
ijassa-660	187	23	learning	learning	NOUN
ijassa-660	187	24	.	.	PUNCT
ijassa-660	188	1	copyright	copyright	NOUN
ijassa-660	188	2	c	c	ADP
ijassa-660	188	3	©	©	PROPN
ijassa-660	188	4	2018	2018	NUM
ijassa-660	188	5	assa	assa	NOUN
ijassa-660	188	6	.	.	PUNCT
ijassa-660	189	1	adv	adv	PROPN
ijassa-660	189	2	syst	syst	PROPN
ijassa-660	189	3	sci	sci	PROPN
ijassa-660	189	4	appl	appl	PROPN
ijassa-660	189	5	(	(	PUNCT
ijassa-660	189	6	2018	2018	NUM
ijassa-660	189	7	)	)	PUNCT
ijassa-660	189	8	tuning	tune	VERB
ijassa-660	189	9	dss	dss	NOUN
ijassa-660	189	10	digital	digital	ADJ
ijassa-660	189	11	twins	twin	NOUN
ijassa-660	189	12	with	with	ADP
ijassa-660	189	13	rl	rl	PROPN
ijassa-660	189	14	11	11	NUM
ijassa-660	189	15	5	5	NUM
ijassa-660	189	16	.	.	PUNCT
ijassa-660	189	17	cope	cope	VERB
ijassa-660	189	18	,	,	PUNCT
ijassa-660	189	19	j.	j.	PROPN
ijassa-660	189	20	,	,	PUNCT
ijassa-660	189	21	liu	liu	PROPN
ijassa-660	189	22	,	,	PUNCT
ijassa-660	189	23	n.	n.	PROPN
ijassa-660	189	24	,	,	PUNCT
ijassa-660	189	25	lang	lang	PROPN
ijassa-660	189	26	,	,	PUNCT
ijassa-660	189	27	s.	s.	PROPN
ijassa-660	189	28	,	,	PUNCT
ijassa-660	189	29	carns	carn	VERB
ijassa-660	189	30	,	,	PUNCT
ijassa-660	189	31	p.	p.	NOUN
ijassa-660	189	32	,	,	PUNCT
ijassa-660	189	33	carothers	carother	NOUN
ijassa-660	189	34	,	,	PUNCT
ijassa-660	189	35	c.	c.	PROPN
ijassa-660	189	36	,	,	PUNCT
ijassa-660	189	37	&	&	CCONJ
ijassa-660	189	38	ross	ross	PROPN
ijassa-660	189	39	,	,	PUNCT
ijassa-660	189	40	r.	r.	PROPN
ijassa-660	189	41	h.	h.	PROPN
ijassa-660	189	42	(	(	PUNCT
ijassa-660	189	43	2011	2011	NUM
ijassa-660	189	44	)	)	PUNCT
ijassa-660	189	45	codes	code	NOUN
ijassa-660	189	46	:	:	PUNCT
ijassa-660	189	47	enabling	enable	VERB
ijassa-660	189	48	co	co	NOUN
ijassa-660	189	49	-	-	NOUN
ijassa-660	189	50	design	design	NOUN
ijassa-660	189	51	of	of	ADP
ijassa-660	189	52	multi	multi	ADJ
ijassa-660	189	53	-	-	ADJ
ijassa-660	189	54	layer	layer	ADJ
ijassa-660	189	55	exascale	exascale	NOUN
ijassa-660	189	56	storage	storage	NOUN
ijassa-660	189	57	architectures	architecture	NOUN
ijassa-660	189	58	.	.	PUNCT
ijassa-660	190	1	6	6	X
ijassa-660	190	2	.	.	X
ijassa-660	190	3	riley	riley	PROPN
ijassa-660	190	4	,	,	PUNCT
ijassa-660	190	5	g.	g.	PROPN
ijassa-660	190	6	f.	f.	PROPN
ijassa-660	190	7	&	&	CCONJ
ijassa-660	190	8	henderson	henderson	PROPN
ijassa-660	190	9	,	,	PUNCT
ijassa-660	190	10	t.	t.	PROPN
ijassa-660	190	11	r.	r.	PROPN
ijassa-660	190	12	(	(	PUNCT
ijassa-660	190	13	2010	2010	NUM
ijassa-660	190	14	)	)	PUNCT
ijassa-660	190	15	the	the	DET
ijassa-660	190	16	ns-3	ns-3	NUM
ijassa-660	190	17	network	network	NOUN
ijassa-660	190	18	simulator	simulator	NOUN
ijassa-660	190	19	,	,	PUNCT
ijassa-660	190	20	15–34	15–34	NUM
ijassa-660	190	21	.	.	PUNCT
ijassa-660	191	1	springer	springer	PROPN
ijassa-660	191	2	berlin	berlin	PROPN
ijassa-660	191	3	heidelberg	heidelberg	PROPN
ijassa-660	191	4	.	.	PUNCT
ijassa-660	192	1	7	7	X
ijassa-660	192	2	.	.	X
ijassa-660	192	3	varga	varga	PROPN
ijassa-660	192	4	,	,	PUNCT
ijassa-660	192	5	a.	a.	PROPN
ijassa-660	192	6	&	&	CCONJ
ijassa-660	192	7	hornig	hornig	PROPN
ijassa-660	192	8	,	,	PUNCT
ijassa-660	192	9	r.	r.	PROPN
ijassa-660	192	10	(	(	PUNCT
ijassa-660	192	11	2008	2008	NUM
ijassa-660	192	12	)	)	PUNCT
ijassa-660	192	13	an	an	DET
ijassa-660	192	14	overview	overview	NOUN
ijassa-660	192	15	of	of	ADP
ijassa-660	192	16	the	the	DET
ijassa-660	192	17	omnet++	omnet++	PROPN
ijassa-660	192	18	simulation	simulation	NOUN
ijassa-660	192	19	environment	environment	NOUN
ijassa-660	192	20	.	.	PUNCT
ijassa-660	193	1	in	in	ADP
ijassa-660	193	2	proceedings	proceeding	NOUN
ijassa-660	193	3	of	of	ADP
ijassa-660	193	4	the	the	DET
ijassa-660	193	5	1st	1st	ADJ
ijassa-660	193	6	international	international	ADJ
ijassa-660	193	7	conference	conference	NOUN
ijassa-660	193	8	on	on	ADP
ijassa-660	193	9	simulation	simulation	NOUN
ijassa-660	193	10	tools	tool	NOUN
ijassa-660	193	11	and	and	CCONJ
ijassa-660	193	12	techniques	technique	NOUN
ijassa-660	193	13	for	for	ADP
ijassa-660	193	14	communications	communication	NOUN
ijassa-660	193	15	,	,	PUNCT
ijassa-660	193	16	networks	network	NOUN
ijassa-660	193	17	and	and	CCONJ
ijassa-660	193	18	systems	system	NOUN
ijassa-660	193	19	&	&	CCONJ
ijassa-660	193	20	workshops	workshop	NOUN
ijassa-660	193	21	,	,	PUNCT
ijassa-660	193	22	icst	icst	PROPN
ijassa-660	193	23	,	,	PUNCT
ijassa-660	193	24	brussels	brussels	PROPN
ijassa-660	193	25	,	,	PUNCT
ijassa-660	193	26	belgium	belgium	PROPN
ijassa-660	193	27	,	,	PUNCT
ijassa-660	193	28	belgium	belgium	PROPN
ijassa-660	193	29	,	,	PUNCT
ijassa-660	193	30	60:1–60:10	60:1–60:10	NUM
ijassa-660	193	31	,	,	PUNCT
ijassa-660	193	32	simutools	simutool	VERB
ijassa-660	193	33	’	’	NUM
ijassa-660	193	34	08	08	NUM
ijassa-660	193	35	,	,	PUNCT
ijassa-660	193	36	icst	icst	PROPN
ijassa-660	193	37	(	(	PUNCT
ijassa-660	193	38	institute	institute	NOUN
ijassa-660	193	39	for	for	ADP
ijassa-660	193	40	computer	computer	NOUN
ijassa-660	193	41	sciences	science	NOUN
ijassa-660	193	42	,	,	PUNCT
ijassa-660	193	43	socialinformatics	socialinformatic	NOUN
ijassa-660	193	44	and	and	CCONJ
ijassa-660	193	45	telecommunications	telecommunication	NOUN
ijassa-660	193	46	engineering	engineering	NOUN
ijassa-660	193	47	)	)	PUNCT
ijassa-660	193	48	.	.	PUNCT
ijassa-660	194	1	8	8	X
ijassa-660	194	2	.	.	X
ijassa-660	195	1	wang	wang	PROPN
ijassa-660	195	2	,	,	PUNCT
ijassa-660	195	3	c.-y	c.-y	NOUN
ijassa-660	195	4	.	.	PUNCT
ijassa-660	195	5	,	,	PUNCT
ijassa-660	195	6	zhou	zhou	PROPN
ijassa-660	195	7	,	,	PUNCT
ijassa-660	195	8	f.	f.	PROPN
ijassa-660	195	9	,	,	PUNCT
ijassa-660	195	10	zhu	zhu	PROPN
ijassa-660	195	11	,	,	PUNCT
ijassa-660	195	12	y.-l	y.-l	NOUN
ijassa-660	195	13	.	.	PUNCT
ijassa-660	195	14	,	,	PUNCT
ijassa-660	195	15	chong	chong	PROPN
ijassa-660	195	16	,	,	PUNCT
ijassa-660	195	17	c.	c.	PROPN
ijassa-660	195	18	t.	t.	PROPN
ijassa-660	195	19	,	,	PUNCT
ijassa-660	195	20	hou	hou	PROPN
ijassa-660	195	21	,	,	PUNCT
ijassa-660	195	22	b.	b.	PROPN
ijassa-660	195	23	,	,	PUNCT
ijassa-660	195	24	&	&	CCONJ
ijassa-660	195	25	xi	xi	PROPN
ijassa-660	195	26	,	,	PUNCT
ijassa-660	195	27	w.-y	w.-y	NOUN
ijassa-660	195	28	.	.	PUNCT
ijassa-660	196	1	(	(	PUNCT
ijassa-660	196	2	2003	2003	NUM
ijassa-660	196	3	)	)	PUNCT
ijassa-660	196	4	simulation	simulation	NOUN
ijassa-660	196	5	of	of	ADP
ijassa-660	196	6	fibre	fibre	PROPN
ijassa-660	196	7	channel	channel	PROPN
ijassa-660	196	8	storage	storage	NOUN
ijassa-660	196	9	area	area	NOUN
ijassa-660	196	10	network	network	NOUN
ijassa-660	196	11	using	use	VERB
ijassa-660	196	12	sansim	sansim	NOUN
ijassa-660	196	13	.	.	PUNCT
ijassa-660	197	1	in	in	ADP
ijassa-660	197	2	the	the	DET
ijassa-660	197	3	11th	11th	ADJ
ijassa-660	197	4	ieee	ieee	NOUN
ijassa-660	197	5	international	international	ADJ
ijassa-660	197	6	conference	conference	NOUN
ijassa-660	197	7	on	on	ADP
ijassa-660	197	8	networks	network	NOUN
ijassa-660	197	9	,	,	PUNCT
ijassa-660	197	10	2003	2003	NUM
ijassa-660	197	11	.	.	PUNCT
ijassa-660	198	1	icon2003	icon2003	PROPN
ijassa-660	198	2	.	.	PROPN
ijassa-660	198	3	,	,	PUNCT
ijassa-660	198	4	349–354	349–354	NUM
ijassa-660	198	5	,	,	PUNCT
ijassa-660	198	6	https://dx.doi.org/10.1109/icon.2003.1266215	https://dx.doi.org/10.1109/icon.2003.1266215	NOUN
ijassa-660	198	7	.	.	PUNCT
ijassa-660	199	1	9	9	X
ijassa-660	199	2	.	.	X
ijassa-660	199	3	molero	molero	NOUN
ijassa-660	199	4	,	,	PUNCT
ijassa-660	199	5	x.	x.	PROPN
ijassa-660	199	6	,	,	PUNCT
ijassa-660	199	7	silla	silla	PROPN
ijassa-660	199	8	,	,	PUNCT
ijassa-660	199	9	f.	f.	PROPN
ijassa-660	199	10	,	,	PUNCT
ijassa-660	199	11	santonja	santonja	VERB
ijassa-660	199	12	,	,	PUNCT
ijassa-660	199	13	v.	v.	PROPN
ijassa-660	199	14	,	,	PUNCT
ijassa-660	199	15	&	&	CCONJ
ijassa-660	199	16	duato	duato	PROPN
ijassa-660	199	17	,	,	PUNCT
ijassa-660	199	18	j.	j.	PROPN
ijassa-660	199	19	(	(	PUNCT
ijassa-660	199	20	2000	2000	NUM
ijassa-660	199	21	)	)	PUNCT
ijassa-660	199	22	modeling	modeling	NOUN
ijassa-660	199	23	and	and	CCONJ
ijassa-660	199	24	simulation	simulation	NOUN
ijassa-660	199	25	of	of	ADP
ijassa-660	199	26	storage	storage	NOUN
ijassa-660	199	27	area	area	NOUN
ijassa-660	199	28	networks	network	NOUN
ijassa-660	199	29	.	.	PUNCT
ijassa-660	200	1	in	in	ADP
ijassa-660	200	2	proceedings	proceeding	NOUN
ijassa-660	200	3	of	of	ADP
ijassa-660	200	4	the	the	DET
ijassa-660	200	5	8th	8th	ADJ
ijassa-660	200	6	international	international	ADJ
ijassa-660	200	7	symposium	symposium	NOUN
ijassa-660	200	8	on	on	ADP
ijassa-660	200	9	modeling	modeling	NOUN
ijassa-660	200	10	,	,	PUNCT
ijassa-660	200	11	analysis	analysis	NOUN
ijassa-660	200	12	and	and	CCONJ
ijassa-660	200	13	simulation	simulation	NOUN
ijassa-660	200	14	of	of	ADP
ijassa-660	200	15	computer	computer	NOUN
ijassa-660	200	16	and	and	CCONJ
ijassa-660	200	17	telecommunication	telecommunication	NOUN
ijassa-660	200	18	systems	system	NOUN
ijassa-660	200	19	,	,	PUNCT
ijassa-660	200	20	washington	washington	PROPN
ijassa-660	200	21	,	,	PUNCT
ijassa-660	200	22	dc	dc	PROPN
ijassa-660	200	23	,	,	PUNCT
ijassa-660	200	24	usa	usa	PROPN
ijassa-660	200	25	,	,	PUNCT
ijassa-660	200	26	307	307	NUM
ijassa-660	200	27	–	–	PUNCT
ijassa-660	200	28	,	,	PUNCT
ijassa-660	200	29	mascots	mascot	NOUN
ijassa-660	200	30	’	'	PUNCT
ijassa-660	200	31	00	00	NUM
ijassa-660	200	32	,	,	PUNCT
ijassa-660	200	33	ieee	ieee	NOUN
ijassa-660	200	34	computer	computer	NOUN
ijassa-660	200	35	society	society	NOUN
ijassa-660	200	36	.	.	PUNCT
ijassa-660	201	1	10	10	NUM
ijassa-660	201	2	.	.	X
ijassa-660	201	3	molero	molero	NOUN
ijassa-660	201	4	,	,	PUNCT
ijassa-660	201	5	x.	x.	PROPN
ijassa-660	201	6	,	,	PUNCT
ijassa-660	201	7	silla	silla	PROPN
ijassa-660	201	8	,	,	PUNCT
ijassa-660	201	9	f.	f.	PROPN
ijassa-660	201	10	,	,	PUNCT
ijassa-660	201	11	santonja	santonja	VERB
ijassa-660	201	12	,	,	PUNCT
ijassa-660	201	13	v.	v.	PROPN
ijassa-660	201	14	,	,	PUNCT
ijassa-660	201	15	&	&	CCONJ
ijassa-660	201	16	duato	duato	PROPN
ijassa-660	201	17	,	,	PUNCT
ijassa-660	201	18	j.	j.	PROPN
ijassa-660	201	19	(	(	PUNCT
ijassa-660	201	20	2001	2001	NUM
ijassa-660	201	21	)	)	PUNCT
ijassa-660	201	22	a	a	DET
ijassa-660	201	23	tool	tool	NOUN
ijassa-660	201	24	for	for	ADP
ijassa-660	201	25	the	the	DET
ijassa-660	201	26	design	design	NOUN
ijassa-660	201	27	and	and	CCONJ
ijassa-660	201	28	evaluation	evaluation	NOUN
ijassa-660	201	29	of	of	ADP
ijassa-660	201	30	fibre	fibre	NOUN
ijassa-660	201	31	channel	channel	PROPN
ijassa-660	201	32	storage	storage	NOUN
ijassa-660	201	33	area	area	NOUN
ijassa-660	201	34	networks	network	NOUN
ijassa-660	201	35	.	.	PUNCT
ijassa-660	202	1	in	in	ADP
ijassa-660	202	2	proceedings	proceeding	NOUN
ijassa-660	202	3	of	of	ADP
ijassa-660	202	4	the	the	DET
ijassa-660	202	5	34th	34th	ADJ
ijassa-660	202	6	annual	annual	ADJ
ijassa-660	202	7	simulation	simulation	NOUN
ijassa-660	202	8	symposium	symposium	NOUN
ijassa-660	202	9	(	(	PUNCT
ijassa-660	202	10	ss01	ss01	PROPN
ijassa-660	202	11	)	)	PUNCT
ijassa-660	202	12	,	,	PUNCT
ijassa-660	202	13	washington	washington	PROPN
ijassa-660	202	14	,	,	PUNCT
ijassa-660	202	15	dc	dc	PROPN
ijassa-660	202	16	,	,	PUNCT
ijassa-660	202	17	usa	usa	PROPN
ijassa-660	202	18	,	,	PUNCT
ijassa-660	202	19	133	133	NUM
ijassa-660	202	20	–	–	PUNCT
ijassa-660	202	21	,	,	PUNCT
ijassa-660	202	22	ss	ss	PRON
ijassa-660	202	23	’	'	PUNCT
ijassa-660	202	24	01	01	NUM
ijassa-660	202	25	,	,	PUNCT
ijassa-660	202	26	ieee	ieee	NOUN
ijassa-660	202	27	computer	computer	NOUN
ijassa-660	202	28	society	society	NOUN
ijassa-660	202	29	.	.	PUNCT
ijassa-660	203	1	11	11	NUM
ijassa-660	203	2	.	.	PUNCT
ijassa-660	204	1	perles	perle	NOUN
ijassa-660	204	2	,	,	PUNCT
ijassa-660	204	3	a.	a.	PROPN
ijassa-660	204	4	,	,	PUNCT
ijassa-660	204	5	molero	molero	NOUN
ijassa-660	204	6	,	,	PUNCT
ijassa-660	204	7	x.	x.	PROPN
ijassa-660	204	8	,	,	PUNCT
ijassa-660	204	9	marti	marti	PROPN
ijassa-660	204	10	,	,	PUNCT
ijassa-660	204	11	a.	a.	PROPN
ijassa-660	204	12	,	,	PUNCT
ijassa-660	204	13	santonja	santonja	NOUN
ijassa-660	204	14	,	,	PUNCT
ijassa-660	204	15	v.	v.	ADV
ijassa-660	204	16	,	,	PUNCT
ijassa-660	204	17	&	&	CCONJ
ijassa-660	204	18	serrano	serrano	PROPN
ijassa-660	204	19	,	,	PUNCT
ijassa-660	204	20	j.	j.	PROPN
ijassa-660	204	21	j.	j.	PROPN
ijassa-660	204	22	(	(	PUNCT
ijassa-660	204	23	2001	2001	NUM
ijassa-660	204	24	)	)	PUNCT
ijassa-660	204	25	improving	improve	VERB
ijassa-660	204	26	the	the	DET
ijassa-660	204	27	execution	execution	NOUN
ijassa-660	204	28	of	of	ADP
ijassa-660	204	29	groups	group	NOUN
ijassa-660	204	30	of	of	ADP
ijassa-660	204	31	simulations	simulation	NOUN
ijassa-660	204	32	on	on	ADP
ijassa-660	204	33	a	a	DET
ijassa-660	204	34	cluster	cluster	NOUN
ijassa-660	204	35	of	of	ADP
ijassa-660	204	36	workstations	workstation	NOUN
ijassa-660	204	37	and	and	CCONJ
ijassa-660	204	38	its	its	PRON
ijassa-660	204	39	application	application	NOUN
ijassa-660	204	40	to	to	ADP
ijassa-660	204	41	storage	storage	NOUN
ijassa-660	204	42	area	area	NOUN
ijassa-660	204	43	networks	network	NOUN
ijassa-660	204	44	.	.	PUNCT
ijassa-660	205	1	in	in	ADP
ijassa-660	205	2	proceedings	proceeding	NOUN
ijassa-660	205	3	.	.	PUNCT
ijassa-660	206	1	34th	34th	ADJ
ijassa-660	206	2	annual	annual	ADJ
ijassa-660	206	3	simulation	simulation	NOUN
ijassa-660	206	4	symposium	symposium	NOUN
ijassa-660	206	5	,	,	PUNCT
ijassa-660	206	6	227–234	227–234	NUM
ijassa-660	206	7	,	,	PUNCT
ijassa-660	206	8	https://dx.doi.org/10.1109/simsym.2001.922136	https://dx.doi.org/10.1109/simsym.2001.922136	NOUN
ijassa-660	206	9	.	.	PUNCT
ijassa-660	207	1	12	12	NUM
ijassa-660	207	2	.	.	PUNCT
ijassa-660	207	3	muknahallipatna	muknahallipatna	PROPN
ijassa-660	207	4	,	,	PUNCT
ijassa-660	207	5	s.	s.	PROPN
ijassa-660	207	6	,	,	PUNCT
ijassa-660	207	7	miles	miles	PROPN
ijassa-660	207	8	,	,	PUNCT
ijassa-660	207	9	j.	j.	PROPN
ijassa-660	207	10	,	,	PUNCT
ijassa-660	207	11	hamann	hamann	PROPN
ijassa-660	207	12	,	,	PUNCT
ijassa-660	207	13	j.	j.	PROPN
ijassa-660	207	14	,	,	PUNCT
ijassa-660	207	15	&	&	CCONJ
ijassa-660	207	16	johnson	johnson	PROPN
ijassa-660	207	17	,	,	PUNCT
ijassa-660	207	18	h.	h.	PROPN
ijassa-660	207	19	(	(	PUNCT
ijassa-660	207	20	2010	2010	NUM
ijassa-660	207	21	)	)	PUNCT
ijassa-660	207	22	large	large	ADJ
ijassa-660	207	23	fabric	fabric	NOUN
ijassa-660	207	24	storage	storage	NOUN
ijassa-660	207	25	area	area	NOUN
ijassa-660	207	26	networks	network	NOUN
ijassa-660	207	27	:	:	PUNCT
ijassa-660	207	28	fabric	fabric	NOUN
ijassa-660	207	29	simulator	simulator	NOUN
ijassa-660	207	30	development	development	NOUN
ijassa-660	207	31	and	and	CCONJ
ijassa-660	207	32	preliminary	preliminary	ADJ
ijassa-660	207	33	performance	performance	NOUN
ijassa-660	207	34	analysis	analysis	NOUN
ijassa-660	207	35	.	.	PUNCT
ijassa-660	208	1	international	international	ADJ
ijassa-660	208	2	journal	journal	NOUN
ijassa-660	208	3	of	of	ADP
ijassa-660	208	4	computers	computer	NOUN
ijassa-660	208	5	and	and	CCONJ
ijassa-660	208	6	applications	application	NOUN
ijassa-660	208	7	,	,	PUNCT
ijassa-660	208	8	32	32	NUM
ijassa-660	208	9	,	,	PUNCT
ijassa-660	208	10	167–180	167–180	NUM
ijassa-660	208	11	,	,	PUNCT
ijassa-660	208	12	https://dx.doi.org/10.1080/1206212x.2010.11441973	https://dx.doi.org/10.1080/1206212x.2010.11441973	PROPN
ijassa-660	208	13	.	.	PROPN
ijassa-660	208	14	13	13	NUM
ijassa-660	208	15	.	.	PUNCT
ijassa-660	209	1	paternina	paternina	PROPN
ijassa-660	209	2	-	-	PUNCT
ijassa-660	209	3	arboleda	arboleda	PROPN
ijassa-660	209	4	,	,	PUNCT
ijassa-660	209	5	c.	c.	PROPN
ijassa-660	209	6	d.	d.	PROPN
ijassa-660	209	7	,	,	PUNCT
ijassa-660	209	8	montoya	montoya	PROPN
ijassa-660	209	9	-	-	PUNCT
ijassa-660	209	10	torres	torres	PROPN
ijassa-660	209	11	,	,	PUNCT
ijassa-660	209	12	j.	j.	PROPN
ijassa-660	209	13	r.	r.	PROPN
ijassa-660	209	14	,	,	PUNCT
ijassa-660	209	15	&	&	CCONJ
ijassa-660	209	16	fabregasariza	fabregasariza	PROPN
ijassa-660	209	17	,	,	PUNCT
ijassa-660	209	18	a.	a.	NOUN
ijassa-660	209	19	(	(	PUNCT
ijassa-660	209	20	2008	2008	NUM
ijassa-660	209	21	)	)	PUNCT
ijassa-660	209	22	simulation	simulation	NOUN
ijassa-660	209	23	-	-	PUNCT
ijassa-660	209	24	optimization	optimization	NOUN
ijassa-660	209	25	using	use	VERB
ijassa-660	209	26	a	a	DET
ijassa-660	209	27	reinforcement	reinforcement	NOUN
ijassa-660	209	28	learning	learning	NOUN
ijassa-660	209	29	approach	approach	NOUN
ijassa-660	209	30	.	.	PUNCT
ijassa-660	210	1	in	in	ADP
ijassa-660	210	2	2008	2008	NUM
ijassa-660	210	3	winter	winter	NOUN
ijassa-660	210	4	simulation	simulation	NOUN
ijassa-660	210	5	conference	conference	NOUN
ijassa-660	210	6	,	,	PUNCT
ijassa-660	210	7	1376–1383	1376–1383	NUM
ijassa-660	210	8	,	,	PUNCT
ijassa-660	210	9	https://dx.doi.org/10.1109/wsc.2008.4736213	https://dx.doi.org/10.1109/wsc.2008.4736213	NOUN
ijassa-660	210	10	.	.	NOUN
ijassa-660	210	11	14	14	NUM
ijassa-660	210	12	.	.	PUNCT
ijassa-660	210	13	sargent	sargent	PROPN
ijassa-660	210	14	,	,	PUNCT
ijassa-660	210	15	r.	r.	PROPN
ijassa-660	210	16	(	(	PUNCT
ijassa-660	210	17	2011	2011	NUM
ijassa-660	210	18	)	)	PUNCT
ijassa-660	210	19	verification	verification	NOUN
ijassa-660	210	20	and	and	CCONJ
ijassa-660	210	21	validation	validation	NOUN
ijassa-660	210	22	of	of	ADP
ijassa-660	210	23	simulation	simulation	NOUN
ijassa-660	210	24	models	model	NOUN
ijassa-660	210	25	.	.	PUNCT
ijassa-660	211	1	engineering	engineering	NOUN
ijassa-660	211	2	management	management	PROPN
ijassa-660	211	3	review	review	PROPN
ijassa-660	211	4	,	,	PUNCT
ijassa-660	211	5	ieee	ieee	NOUN
ijassa-660	211	6	,	,	PUNCT
ijassa-660	211	7	37	37	NUM
ijassa-660	211	8	,	,	PUNCT
ijassa-660	211	9	166	166	NUM
ijassa-660	211	10	–	–	PUNCT
ijassa-660	211	11	183	183	NUM
ijassa-660	211	12	,	,	PUNCT
ijassa-660	211	13	https://dx.doi.org/10.1109/wsc.2010.5679166	https://dx.doi.org/10.1109/wsc.2010.5679166	PART
ijassa-660	211	14	.	.	PUNCT
ijassa-660	211	15	15	15	NUM
ijassa-660	211	16	.	.	PUNCT
ijassa-660	212	1	s.	s.	PROPN
ijassa-660	212	2	carson	carson	PROPN
ijassa-660	212	3	ii	ii	PROPN
ijassa-660	212	4	,	,	PUNCT
ijassa-660	212	5	j.	j.	PROPN
ijassa-660	212	6	(	(	PUNCT
ijassa-660	212	7	2002	2002	NUM
ijassa-660	212	8	)	)	PUNCT
ijassa-660	212	9	model	model	NOUN
ijassa-660	212	10	verification	verification	NOUN
ijassa-660	212	11	and	and	CCONJ
ijassa-660	212	12	validation	validation	NOUN
ijassa-660	212	13	.	.	PUNCT
ijassa-660	213	1	winter	winter	NOUN
ijassa-660	213	2	simulation	simulation	PROPN
ijassa-660	213	3	conference	conference	NOUN
ijassa-660	213	4	proceedings	proceeding	NOUN
ijassa-660	213	5	,	,	PUNCT
ijassa-660	213	6	1	1	NUM
ijassa-660	213	7	,	,	PUNCT
ijassa-660	213	8	52–58	52–58	NUM
ijassa-660	213	9	,	,	PUNCT
ijassa-660	213	10	https://dx.doi.org/10.1109/wsc.2002.1172868	https://dx.doi.org/10.1109/wsc.2002.1172868	VERB
ijassa-660	213	11	.	.	PROPN
ijassa-660	214	1	16	16	NUM
ijassa-660	214	2	.	.	PUNCT
ijassa-660	215	1	yadro	yadro	PROPN
ijassa-660	215	2	(	(	PUNCT
ijassa-660	215	3	2017	2017	NUM
ijassa-660	215	4	)	)	PUNCT
ijassa-660	215	5	,	,	PUNCT
ijassa-660	215	6	tatlin	tatlin	ADJ
ijassa-660	215	7	hybrid	hybrid	ADJ
ijassa-660	215	8	storage	storage	NOUN
ijassa-660	215	9	.	.	PUNCT
ijassa-660	216	1	https://yadro.com/products/	https://yadro.com/products/	NOUN
ijassa-660	216	2	tatlin	tatlin	ADV
ijassa-660	216	3	,	,	PUNCT
ijassa-660	216	4	[	[	X
ijassa-660	216	5	online	online	ADV
ijassa-660	216	6	;	;	PUNCT
ijassa-660	216	7	accessed	access	VERB
ijassa-660	216	8	29	29	NUM
ijassa-660	216	9	-	-	PUNCT
ijassa-660	216	10	october-2018	october-2018	NOUN
ijassa-660	216	11	]	]	X
ijassa-660	216	12	.	.	PUNCT
ijassa-660	217	1	17	17	NUM
ijassa-660	217	2	.	.	PUNCT
ijassa-660	218	1	google	google	PROPN
ijassa-660	218	2	(	(	PUNCT
ijassa-660	218	3	2012	2012	NUM
ijassa-660	218	4	)	)	PUNCT
ijassa-660	218	5	,	,	PUNCT
ijassa-660	218	6	go	go	VERB
ijassa-660	218	7	programming	programming	NOUN
ijassa-660	218	8	language	language	NOUN
ijassa-660	218	9	.	.	PUNCT
ijassa-660	219	1	https://golang.org	https://golang.org	NUM
ijassa-660	219	2	,	,	PUNCT
ijassa-660	219	3	[	[	X
ijassa-660	219	4	online	online	ADV
ijassa-660	219	5	;	;	PUNCT
ijassa-660	219	6	accessed	access	VERB
ijassa-660	219	7	29	29	NUM
ijassa-660	219	8	-	-	PUNCT
ijassa-660	219	9	october-2018	october-2018	NOUN
ijassa-660	219	10	]	]	PUNCT
ijassa-660	219	11	.	.	PUNCT
ijassa-660	220	1	18	18	NUM
ijassa-660	220	2	.	.	PUNCT
ijassa-660	220	3	sutton	sutton	PROPN
ijassa-660	220	4	,	,	PUNCT
ijassa-660	220	5	r.	r.	PROPN
ijassa-660	220	6	s.	s.	PROPN
ijassa-660	220	7	&	&	CCONJ
ijassa-660	220	8	barto	barto	PROPN
ijassa-660	220	9	,	,	PUNCT
ijassa-660	220	10	a.	a.	NOUN
ijassa-660	220	11	g.	g.	PROPN
ijassa-660	220	12	(	(	PUNCT
ijassa-660	220	13	1998	1998	NUM
ijassa-660	220	14	)	)	PUNCT
ijassa-660	220	15	introduction	introduction	NOUN
ijassa-660	220	16	to	to	ADP
ijassa-660	220	17	reinforcement	reinforcement	NOUN
ijassa-660	220	18	learning	learning	NOUN
ijassa-660	220	19	.	.	PUNCT
ijassa-660	221	1	cambridge	cambridge	PROPN
ijassa-660	221	2	,	,	PUNCT
ijassa-660	221	3	ma	ma	PROPN
ijassa-660	221	4	,	,	PUNCT
ijassa-660	221	5	usa	usa	PROPN
ijassa-660	221	6	:	:	PUNCT
ijassa-660	221	7	mit	mit	PROPN
ijassa-660	221	8	press	press	NOUN
ijassa-660	221	9	,	,	PUNCT
ijassa-660	221	10	1st	1st	ADJ
ijassa-660	221	11	edn	edn	PROPN
ijassa-660	221	12	.	.	PUNCT
ijassa-660	222	1	19	19	NUM
ijassa-660	222	2	.	.	X
ijassa-660	222	3	watkins	watkin	NOUN
ijassa-660	222	4	,	,	PUNCT
ijassa-660	222	5	c.	c.	PROPN
ijassa-660	222	6	j.	j.	PROPN
ijassa-660	222	7	c.	c.	PROPN
ijassa-660	222	8	h.	h.	PROPN
ijassa-660	222	9	&	&	CCONJ
ijassa-660	222	10	dayan	dayan	PROPN
ijassa-660	222	11	,	,	PUNCT
ijassa-660	222	12	p.	p.	NOUN
ijassa-660	222	13	(	(	PUNCT
ijassa-660	222	14	1992	1992	NUM
ijassa-660	222	15	)	)	PUNCT
ijassa-660	222	16	q	q	X
ijassa-660	222	17	-	-	PUNCT
ijassa-660	222	18	learning	learning	NOUN
ijassa-660	222	19	.	.	PUNCT
ijassa-660	223	1	machine	machine	NOUN
ijassa-660	223	2	learning	learning	NOUN
ijassa-660	223	3	,	,	PUNCT
ijassa-660	223	4	8	8	NUM
ijassa-660	223	5	,	,	PUNCT
ijassa-660	223	6	279–292	279–292	NUM
ijassa-660	223	7	,	,	PUNCT
ijassa-660	223	8	https://dx.doi.org/10.1007/bf00992698	https://dx.doi.org/10.1007/bf00992698	NOUN
ijassa-660	223	9	.	.	PUNCT
ijassa-660	224	1	20	20	NUM
ijassa-660	224	2	.	.	PUNCT
ijassa-660	225	1	mnih	mnih	PROPN
ijassa-660	225	2	,	,	PUNCT
ijassa-660	225	3	v.	v.	PROPN
ijassa-660	225	4	,	,	PUNCT
ijassa-660	225	5	kavukcuoglu	kavukcuoglu	PROPN
ijassa-660	225	6	,	,	PUNCT
ijassa-660	225	7	k.	k.	PROPN
ijassa-660	225	8	,	,	PUNCT
ijassa-660	225	9	silver	silver	NOUN
ijassa-660	225	10	,	,	PUNCT
ijassa-660	225	11	d.	d.	PROPN
ijassa-660	225	12	,	,	PUNCT
ijassa-660	225	13	graves	grave	NOUN
ijassa-660	225	14	,	,	PUNCT
ijassa-660	225	15	a.	a.	NOUN
ijassa-660	225	16	,	,	PUNCT
ijassa-660	225	17	antonoglou	antonoglou	PROPN
ijassa-660	225	18	,	,	PUNCT
ijassa-660	225	19	i.	i.	PROPN
ijassa-660	225	20	,	,	PUNCT
ijassa-660	225	21	wierstra	wierstra	PROPN
ijassa-660	225	22	,	,	PUNCT
ijassa-660	225	23	d.	d.	PROPN
ijassa-660	225	24	,	,	PUNCT
ijassa-660	225	25	&	&	CCONJ
ijassa-660	225	26	riedmiller	riedmiller	NOUN
ijassa-660	225	27	,	,	PUNCT
ijassa-660	225	28	m.	m.	NOUN
ijassa-660	225	29	a.	a.	NOUN
ijassa-660	225	30	(	(	PUNCT
ijassa-660	225	31	2013	2013	NUM
ijassa-660	225	32	)	)	PUNCT
ijassa-660	225	33	playing	play	VERB
ijassa-660	225	34	atari	atari	NOUN
ijassa-660	225	35	with	with	ADP
ijassa-660	225	36	deep	deep	ADJ
ijassa-660	225	37	reinforcement	reinforcement	NOUN
ijassa-660	225	38	learning	learning	NOUN
ijassa-660	225	39	.	.	PUNCT
ijassa-660	226	1	corr	corr	PROPN
ijassa-660	226	2	,	,	PUNCT
ijassa-660	226	3	abs/1312.5602	abs/1312.5602	PROPN
ijassa-660	226	4	.	.	PUNCT
ijassa-660	227	1	21	21	NUM
ijassa-660	227	2	.	.	PUNCT
ijassa-660	227	3	silver	silver	PROPN
ijassa-660	227	4	,	,	PUNCT
ijassa-660	227	5	d.	d.	PROPN
ijassa-660	227	6	,	,	PUNCT
ijassa-660	227	7	lever	lever	PROPN
ijassa-660	227	8	,	,	PUNCT
ijassa-660	227	9	g.	g.	PROPN
ijassa-660	227	10	,	,	PUNCT
ijassa-660	227	11	heess	heess	PROPN
ijassa-660	227	12	,	,	PUNCT
ijassa-660	227	13	n.	n.	NOUN
ijassa-660	227	14	,	,	PUNCT
ijassa-660	227	15	degris	degris	NOUN
ijassa-660	227	16	,	,	PUNCT
ijassa-660	227	17	t.	t.	PROPN
ijassa-660	227	18	,	,	PUNCT
ijassa-660	227	19	wierstra	wierstra	PROPN
ijassa-660	227	20	,	,	PUNCT
ijassa-660	227	21	d.	d.	PROPN
ijassa-660	227	22	,	,	PUNCT
ijassa-660	227	23	&	&	CCONJ
ijassa-660	227	24	riedmiller	riedmiller	NOUN
ijassa-660	227	25	,	,	PUNCT
ijassa-660	227	26	m.	m.	NOUN
ijassa-660	227	27	(	(	PUNCT
ijassa-660	227	28	2014	2014	NUM
ijassa-660	227	29	)	)	PUNCT
ijassa-660	227	30	deterministic	deterministic	ADJ
ijassa-660	227	31	policy	policy	NOUN
ijassa-660	227	32	gradient	gradient	NOUN
ijassa-660	227	33	algorithms	algorithm	NOUN
ijassa-660	227	34	.	.	PUNCT
ijassa-660	228	1	in	in	ADP
ijassa-660	228	2	proceedings	proceeding	NOUN
ijassa-660	228	3	of	of	ADP
ijassa-660	228	4	the	the	DET
ijassa-660	228	5	31st	31st	ADJ
ijassa-660	228	6	international	international	ADJ
ijassa-660	228	7	copyright	copyright	NOUN
ijassa-660	228	8	c	c	ADP
ijassa-660	228	9	©	©	PROPN
ijassa-660	228	10	2018	2018	NUM
ijassa-660	228	11	assa	assa	NOUN
ijassa-660	228	12	.	.	PUNCT
ijassa-660	229	1	adv	adv	PROPN
ijassa-660	229	2	syst	syst	PROPN
ijassa-660	229	3	sci	sci	PROPN
ijassa-660	229	4	appl	appl	PROPN
ijassa-660	229	5	(	(	PUNCT
ijassa-660	229	6	2018	2018	NUM
ijassa-660	229	7	)	)	PUNCT
ijassa-660	229	8	12	12	NUM
ijassa-660	229	9	v.	v.	ADP
ijassa-660	229	10	belavin	belavin	PROPN
ijassa-660	229	11	et	et	PROPN
ijassa-660	229	12	al	al	PROPN
ijassa-660	229	13	.	.	PROPN
ijassa-660	229	14	conference	conference	NOUN
ijassa-660	229	15	on	on	ADP
ijassa-660	229	16	international	international	ADJ
ijassa-660	229	17	conference	conference	NOUN
ijassa-660	229	18	on	on	ADP
ijassa-660	229	19	machine	machine	NOUN
ijassa-660	229	20	learning	learning	NOUN
ijassa-660	229	21	volume	volume	NOUN
ijassa-660	229	22	32	32	NUM
ijassa-660	229	23	,	,	PUNCT
ijassa-660	229	24	i–387	i–387	PROPN
ijassa-660	229	25	–	–	PUNCT
ijassa-660	229	26	i–395	i–395	PROPN
ijassa-660	229	27	,	,	PUNCT
ijassa-660	229	28	icml’14	icml’14	PROPN
ijassa-660	229	29	,	,	PUNCT
ijassa-660	229	30	jmlr.org	jmlr.org	PROPN
ijassa-660	229	31	.	.	PROPN
ijassa-660	229	32	22	22	NUM
ijassa-660	229	33	.	.	PUNCT
ijassa-660	230	1	paszke	paszke	NOUN
ijassa-660	230	2	,	,	PUNCT
ijassa-660	230	3	a.	a.	NOUN
ijassa-660	230	4	,	,	PUNCT
ijassa-660	230	5	gross	gross	ADJ
ijassa-660	230	6	,	,	PUNCT
ijassa-660	230	7	s.	s.	PROPN
ijassa-660	230	8	,	,	PUNCT
ijassa-660	230	9	chintala	chintala	PROPN
ijassa-660	230	10	,	,	PUNCT
ijassa-660	230	11	s.	s.	PROPN
ijassa-660	230	12	,	,	PUNCT
ijassa-660	230	13	chanan	chanan	PROPN
ijassa-660	230	14	,	,	PUNCT
ijassa-660	230	15	g.	g.	PROPN
ijassa-660	230	16	,	,	PUNCT
ijassa-660	230	17	yang	yang	PROPN
ijassa-660	230	18	,	,	PUNCT
ijassa-660	230	19	e.	e.	PROPN
ijassa-660	230	20	,	,	PUNCT
ijassa-660	230	21	devito	devito	PROPN
ijassa-660	230	22	,	,	PUNCT
ijassa-660	230	23	z.	z.	PROPN
ijassa-660	230	24	,	,	PUNCT
ijassa-660	230	25	lin	lin	PROPN
ijassa-660	230	26	,	,	PUNCT
ijassa-660	230	27	z.	z.	PROPN
ijassa-660	230	28	,	,	PUNCT
ijassa-660	230	29	desmaison	desmaison	PROPN
ijassa-660	230	30	,	,	PUNCT
ijassa-660	230	31	a.	a.	NOUN
ijassa-660	230	32	,	,	PUNCT
ijassa-660	230	33	antiga	antiga	PROPN
ijassa-660	230	34	,	,	PUNCT
ijassa-660	230	35	l.	l.	PROPN
ijassa-660	230	36	,	,	PUNCT
ijassa-660	230	37	&	&	CCONJ
ijassa-660	230	38	lerer	lerer	PROPN
ijassa-660	230	39	,	,	PUNCT
ijassa-660	230	40	a.	a.	NOUN
ijassa-660	230	41	(	(	PUNCT
ijassa-660	230	42	2017	2017	NUM
ijassa-660	230	43	)	)	PUNCT
ijassa-660	230	44	automatic	automatic	ADJ
ijassa-660	230	45	differentiation	differentiation	NOUN
ijassa-660	230	46	in	in	ADP
ijassa-660	230	47	pytorch	pytorch	NOUN
ijassa-660	230	48	.	.	PUNCT
ijassa-660	231	1	copyright	copyright	NOUN
ijassa-660	231	2	c	c	ADP
ijassa-660	231	3	©	©	PROPN
ijassa-660	231	4	2018	2018	NUM
ijassa-660	231	5	assa	assa	NOUN
ijassa-660	231	6	.	.	PUNCT
ijassa-660	232	1	adv	adv	PROPN
ijassa-660	232	2	syst	syst	PROPN
ijassa-660	232	3	sci	sci	PROPN
ijassa-660	232	4	appl	appl	PROPN
ijassa-660	232	5	(	(	PUNCT
ijassa-660	232	6	2018	2018	NUM
ijassa-660	232	7	)	)	PUNCT