id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-30783	Chen, Xinyi	Research on the Energy Efficiency Optimization Scheduling Method of Multi-Load Trolleys in Workshops	2025	6	.pdf	application/pdf	5169	285	37	Dynamic Scheduling Compared with static scheduling, dynamic scheduling has stronger responsiveness and flexibility. With the development of Deep Learning and Reinforcement learning technologies, Deep Reinforcement Learning (DRL) has shown broad application prospects in the field of dynamic scheduling.	cache/fbem-30783.pdf	txt/fbem-30783.txt