Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games

Ioannis Anagnostides, Constantinos Daskalakis, Gabriele Farina, Maxwell Fishelson, Noah Golowich, Tuomas Sandholm. Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games. In Stefano Leonardi, Anupam Gupta 0001, editors, STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20 - 24, 2022. pages 736-749, ACM, 2022. [doi]

@inproceedings{AnagnostidesDFF22,
  title = {Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games},
  author = {Ioannis Anagnostides and Constantinos Daskalakis and Gabriele Farina and Maxwell Fishelson and Noah Golowich and Tuomas Sandholm},
  year = {2022},
  doi = {10.1145/3519935.3520031},
  url = {https://doi.org/10.1145/3519935.3520031},
  researchr = {https://researchr.org/publication/AnagnostidesDFF22},
  cites = {0},
  citedby = {0},
  pages = {736-749},
  booktitle = {STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20 - 24, 2022},
  editor = {Stefano Leonardi and Anupam Gupta 0001},
  publisher = {ACM},
  isbn = {978-1-4503-9264-8},
}