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

Hao Wang 0133, Wenzheng Lin, Tao Peng 0012, Qinge Xiao, Renzhong Tang. Multi-agent deep reinforcement learning-based approach for dynamic flexible assembly job shop scheduling with uncertain processing and transport times. Expert Syst. Appl., 270:126441, 2025. [doi]

@article{WangLPXT25,
  title = {Multi-agent deep reinforcement learning-based approach for dynamic flexible assembly job shop scheduling with uncertain processing and transport times},
  author = {Hao Wang 0133 and Wenzheng Lin and Tao Peng 0012 and Qinge Xiao and Renzhong Tang},
  year = {2025},
  doi = {10.1016/j.eswa.2025.126441},
  url = {https://doi.org/10.1016/j.eswa.2025.126441},
  researchr = {https://researchr.org/publication/WangLPXT25},
  cites = {0},
  citedby = {0},
  journal = {Expert Syst. Appl.},
  volume = {270},
  pages = {126441},
}