Constrained Reinforcement Learning for Dynamic Material Handling

1 code implementation • 23 May 2023 • Chengpeng Hu, ZiMing Wang, Jialin Liu, Junyi Wen, Bifei Mao, Xin Yao

Experimental results on the problem instances demonstrate the outstanding performance of our proposed approach compared with eight state-of-the-art constrained and non-constrained reinforcement learning algorithms, and widely used dispatching rules for material handling.

reinforcement-learning Scheduling