Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL

Minshuo Chen, Yan Li 0074, Ethan Wang, Zhuoran Yang, Zhaoran Wang, Tuo Zhao. Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 17913-17926, 2021. [doi]

@inproceedings{ChenLWYWZ21,
  title = {Pessimism Meets Invariance: Provably Efficient Offline Mean-Field Multi-Agent RL},
  author = {Minshuo Chen and Yan Li 0074 and Ethan Wang and Zhuoran Yang and Zhaoran Wang and Tuo Zhao},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/9559fc73b13fa721a816958488a5b449-Abstract.html},
  researchr = {https://researchr.org/publication/ChenLWYWZ21},
  cites = {0},
  citedby = {0},
  pages = {17913-17926},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}