id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
american_scientific_journal-4394	Girgis, Amir	Evaluating the Efficacy of Deep Neural Networks in Reinforcement Learning Problems	2018	13	.pdf	application/pdf	6914	299	49	This opens up deep reinforcement learning models to two key problems: overfitting and reward functions. What this means for deep reinforcement learning models, is that they almost always end up fitting to the unconventional patterns of each environment.	cache/american_scientific_journal-4394.pdf	txt/american_scientific_journal-4394.txt