Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning

Hadi Nekoei, Akilesh Badrinaaraayanan, Amit Sinha, Mohammad Amini, Janarthanan Rajendran, Aditya Mahajan, Sarath Chandar. Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning. In Sarath Chandar, Razvan Pascanu, Hanie Sedghi, Doina Precup, editors, Conference on Lifelong Learning Agents, 22-25 August 2023, McGill University, Montréal, Québec, Canada. Volume 232 of Proceedings of Machine Learning Research, pages 376-398, PMLR, 2023. [doi]

@inproceedings{NekoeiBSARMC23,
  title = {Dealing With Non-stationarity in Decentralized Cooperative Multi-Agent Deep Reinforcement Learning via Multi-Timescale Learning},
  author = {Hadi Nekoei and Akilesh Badrinaaraayanan and Amit Sinha and Mohammad Amini and Janarthanan Rajendran and Aditya Mahajan and Sarath Chandar},
  year = {2023},
  url = {https://proceedings.mlr.press/v232/nekoei23a.html},
  researchr = {https://researchr.org/publication/NekoeiBSARMC23},
  cites = {0},
  citedby = {0},
  pages = {376-398},
  booktitle = {Conference on Lifelong Learning Agents, 22-25 August 2023, McGill University, Montréal, Québec, Canada},
  editor = {Sarath Chandar and Razvan Pascanu and Hanie Sedghi and Doina Precup},
  volume = {232},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}