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2104.01520
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Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
Journal of the ACM (JACM), 2021
4 April 2021
Gabriele Farina
A. Celli
A. Marchesi
N. Gatti
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Papers citing
"Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium"
20 / 20 papers shown
Proximal Regret and Proximal Correlated Equilibria: A New Tractable Solution Concept for Online Learning and Games
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Swap Regret and Correlated Equilibria Beyond Normal-Form Games
ACM Conference on Economics and Computation (EC), 2025
Eshwar Ram Arunachaleswaran
Natalie Collina
Yishay Mansour
M. Mohri
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Balasubramanian Sivan
289
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Expected Variational Inequalities
B. Zhang
Ioannis Anagnostides
Emanuel Tewolde
Ratip Emin Berker
Gabriele Farina
Vincent Conitzer
Tuomas Sandholm
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25 Feb 2025
Efficient Learning and Computation of Linear Correlated Equilibrium in General Convex Games
Symposium on the Theory of Computing (STOC), 2024
Constantinos Daskalakis
Gabriele Farina
Maxwell Fishelson
Charilaos Pipis
Jon Schneider
259
13
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31 Dec 2024
Efficiently Solving Turn-Taking Stochastic Games with Extensive-Form Correlation
ACM Conference on Economics and Computation (EC), 2023
Hanrui Zhang
Yu Cheng
Vincent Conitzer
353
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22 Dec 2024
The complexity of approximate (coarse) correlated equilibrium for incomplete information games
Binghui Peng
Aviad Rubinstein
386
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04 Jun 2024
Fast swap regret minimization and applications to approximate correlated equilibria
Symposium on the Theory of Computing (STOC), 2023
Binghui Peng
Aviad Rubinstein
316
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30 Oct 2023
Sequential Information Design: Learning to Persuade in the Dark
Neural Information Processing Systems (NeurIPS), 2022
Martino Bernasconi
Matteo Castiglioni
A. Marchesi
N. Gatti
F. Trovò
224
16
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08 Sep 2022
Near-Optimal
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-Regret Learning in Extensive-Form Games
International Conference on Machine Learning (ICML), 2022
Ioannis Anagnostides
Gabriele Farina
Tuomas Sandholm
296
7
0
20 Aug 2022
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent
Neural Information Processing Systems (NeurIPS), 2022
Yu Bai
Chi Jin
Song Mei
Ziang Song
Tiancheng Yu
OffRL
287
22
0
30 May 2022
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections
International Conference on Machine Learning (ICML), 2021
Dustin Morrill
Ryan DÓrazio
Marc Lanctot
J. R. Wright
Michael Bowling
Amy Greenwald
277
24
0
24 May 2022
Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation
ACM Conference on Economics and Computation (EC), 2022
B. Zhang
Gabriele Farina
A. Celli
Tuomas Sandholm
312
26
0
14 Mar 2022
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
International Conference on Machine Learning (ICML), 2022
Yunru Bai
Chi Jin
Song Mei
Tiancheng Yu
401
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03 Feb 2022
Cooperation, Retaliation and Forgiveness in Revision Games
Dong Hao
Qi Shi
Jinyan Su
Bo An
258
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04 Dec 2021
Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games
Symposium on the Theory of Computing (STOC), 2021
Ioannis Anagnostides
C. Daskalakis
Gabriele Farina
Maxwell Fishelson
Noah Golowich
Tuomas Sandholm
623
66
0
11 Nov 2021
When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?
International Conference on Learning Representations (ICLR), 2021
Ziang Song
Song Mei
Yu Bai
381
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08 Oct 2021
Evolutionary Dynamics and
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-Regret Minimization in Games
Georgios Piliouras
Mark Rowland
Shayegan Omidshafiei
Romuald Elie
Daniel Hennes
Jerome T. Connor
K. Tuyls
237
2
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28 Jun 2021
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces
International Conference on Machine Learning (ICML), 2021
Chi Jin
Qinghua Liu
Tiancheng Yu
361
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07 Jun 2021
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
Neural Information Processing Systems (NeurIPS), 2020
A. Celli
A. Marchesi
Gabriele Farina
N. Gatti
670
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DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Matej Moravcík
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