Tackling Non-stationarity in Decentralized Multi-Agent Reinforcement Learning with Prudent Q-Learning

Jianan Wei, Liang Wang 0006, XianPing Tao, Hao Hu 0001, Haijun Wu. Tackling Non-stationarity in Decentralized Multi-Agent Reinforcement Learning with Prudent Q-Learning. In Xiang Zhao 0002, Shiyu Yang, Xin Wang, Jianxin Li 0001, editors, Web Information Systems and Applications - 19th International Conference, WISA 2022, Dalian, China, September 16-18, 2022, Proceedings. Volume 13579 of Lecture Notes in Computer Science, pages 403-415, Springer, 2022. [doi]

@inproceedings{WeiWTHW22,
  title = {Tackling Non-stationarity in Decentralized Multi-Agent Reinforcement Learning with Prudent Q-Learning},
  author = {Jianan Wei and Liang Wang 0006 and XianPing Tao and Hao Hu 0001 and Haijun Wu},
  year = {2022},
  doi = {10.1007/978-3-031-20309-1_35},
  url = {https://doi.org/10.1007/978-3-031-20309-1_35},
  researchr = {https://researchr.org/publication/WeiWTHW22},
  cites = {0},
  citedby = {0},
  pages = {403-415},
  booktitle = {Web Information Systems and Applications - 19th International Conference, WISA 2022, Dalian, China, September 16-18, 2022, Proceedings},
  editor = {Xiang Zhao 0002 and Shiyu Yang and Xin Wang and Jianxin Li 0001},
  volume = {13579},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-20309-1},
}