RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution

Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu. RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 19490-19503, PMLR, 2023. [doi]

@inproceedings{LiHTZF23,
  title = {RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution},
  author = {Pengyi Li and Jianye Hao and Hongyao Tang and Yan Zheng and Xian Fu},
  year = {2023},
  url = {https://proceedings.mlr.press/v202/li23i.html},
  researchr = {https://researchr.org/publication/LiHTZF23},
  cites = {0},
  citedby = {0},
  pages = {19490-19503},
  booktitle = {International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA},
  editor = {Andreas Krause 0001 and Emma Brunskill and KyungHyun Cho and Barbara Engelhardt and Sivan Sabato and Jonathan Scarlett},
  volume = {202},
  series = {Proceedings of Machine Learning Research},
  publisher = {PMLR},
}