Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-player General-Sum Games
Name
3519935.3520031.pdf
Size
879.85 KB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Anagnostides, Ioannis
Daskalakis, Constantinos
Farina, Gabriele
Fishelson, Maxwell
Golowich, Noah
Sandholm, Tuomas
Date Issued
June 9, 2022
Publisher
ACM|Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing
Citation
Anagnostides, Ioannis, Daskalakis, Constantinos, Farina, Gabriele, Fishelson, Maxwell, Golowich, Noah et al. 2022. "Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-player General-Sum Games."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1145/3519935.3520031
