Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria-Reference-Cited by-同舟云学术

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Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria

Published:2022-07-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd ACM Conference on Economics and Computation
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Author:

Anagnostides Ioannis¹,Farina Gabriele¹,Kroer Christian²,Celli Andrea³,Sandholm Tuomas⁴

Affiliation:

1. Carnegie Mellon University, Pittsburgh, PA, USA

2. Columbia University, New York City, NY, USA

3. Bocconi University, Milan, Italy

4. Carnegie Mellon University; Strategy Robot, Inc.; Optimized Markets, Inc.; Strategic Machine, Inc., Pittsburgh, PA, USA

Funder

National Science Foundation

ARO

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3490486.3538288

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. “Subjectivity and correlation in randomized strategies”: Back to the roots;Journal of Mathematical Economics;2024-10

2. Fast Swap Regret Minimization and Applications to Approximate Correlated Equilibria;Proceedings of the 56th Annual ACM Symposium on Theory of Computing;2024-06-10

3. A survey of decision making in adversarial games;Science China Information Sciences;2024-02-04

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