Multi-agent deep reinforcement learning-based approach for dynamic flexible assembly job shop scheduling with uncertain processing and transport times

Hao Wang, Wenzheng Lin, Tao Peng, Qinge Xiao, Renzhong Tang

State Key Laboratory Fluid Power and Mechatronic Systems　Zhejiang University　Chinese Academy of Sciences　Shenzhen Institutes of Advanced Technology