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No-regret learning and mixed Nash equilibria: They do not mix

19 October 2020

Lampros Flokas

Emmanouil-Vasileios Vlatakis-Gkaragkounis

Papers citing "No-regret learning and mixed Nash equilibria: They do not mix"

26 / 26 papers shown

Title
Higher-Order Uncoupled Learning Dynamics and Nash Equilibrium Sarah A. Toonsi Jeff S. Shamma 110 0 0 12 Jun 2025
Multi-Fidelity Bayesian Optimization for Nash Equilibria with Black-Box Utilities Yunchuan Zhang Osvaldo Simeone H. Vincent Poor 52 0 0 16 May 2025
Preference graphs: a combinatorial tool for game theory O. Biggar Iman Shames 81 1 0 05 Feb 2025
On the Interplay between Social Welfare and Tractability of Equilibria Ioannis Anagnostides Tuomas Sandholm 152 3 0 10 Jan 2025
No-regret learning in harmonic games: Extrapolation in the face of conflicting interests Davide Legacci P. Mertikopoulos Christos H. Papadimitriou Georgios Piliouras Bary S. R. Pradelski 99 4 0 31 Dec 2024
Accelerated regularized learning in finite N-person games Kyriakos Lotidis Angeliki Giannou P. Mertikopoulos Nicholas Bambos 66 2 0 31 Dec 2024
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms Yang Cai Gabriele Farina Julien Grand-Clément Christian Kroer Chung-Wei Lee Haipeng Luo Weiqiang Zheng 119 7 0 15 Jun 2024
Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning G. dÉon N. Newman Kevin Leyton-Brown 52 0 0 29 Feb 2024
Green Resilience of Cyber-Physical Systems Diaeddin Rimawi 29 3 0 09 Nov 2023
Game Connectivity and Adaptive Dynamics Tom Johnston Michael Savery Alex Scott Bassel Tarbush 10 5 0 19 Sep 2023
Learning in quantum games Kyriakos Lotidis P. Mertikopoulos Nicholas Bambos 66 7 0 05 Feb 2023
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games Ioannis Anagnostides Ioannis Panageas Gabriele Farina Tuomas Sandholm 77 19 0 26 Jan 2023
Asymptotic Convergence and Performance of Multi-Agent Q-Learning Dynamics A. Hussain Francesco Belardinelli Georgios Piliouras 81 15 0 23 Jan 2023
On the convergence of policy gradient methods to Nash equilibria in general stochastic games Angeliki Giannou Kyriakos Lotidis P. Mertikopoulos Emmanouil-Vasileios Vlatakis-Gkaragkounis 124 18 0 17 Oct 2022
A Survey of Decision Making in Adversarial Games Xiuxian Li Min Meng Yiguang Hong Jie-bin Chen AAML 97 15 0 16 Jul 2022
No-Regret Learning in Games is Turing Complete Gabriel P. Andrade Rafael Frongillo Georgios Piliouras 74 6 0 24 Feb 2022
Second-Order Mirror Descent: Convergence in Games Beyond Averaging and Discounting Bolin Gao Lacra Pavel 59 9 0 18 Nov 2021
Nash Convergence of Mean-Based Learning Algorithms in First Price Auctions Xiaotie Deng Xinyan Hu Tao Lin Weiqiang Zheng 139 12 0 08 Oct 2021
Constants of Motion: The Antidote to Chaos in Optimization and Game Dynamics Georgios Piliouras Xiao Wang 65 0 0 08 Sep 2021
Near-Optimal No-Regret Learning in General Games C. Daskalakis Maxwell Fishelson Noah Golowich 81 107 0 16 Aug 2021
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games B. Hambly Renyuan Xu Huining Yang 91 29 0 27 Jul 2021
Evolutionary Dynamics and $Φ$ -Regret Minimization in Games Georgios Piliouras Mark Rowland Shayegan Omidshafiei Romuald Elie Daniel Hennes Jerome T. Connor K. Tuyls 56 2 0 28 Jun 2021
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games Stefanos Leonardos W. Overman Ioannis Panageas Georgios Piliouras 85 123 0 03 Jun 2021
Learning in Matrix Games can be Arbitrarily Complex Gabriel P. Andrade Rafael Frongillo Georgios Piliouras 57 30 0 05 Mar 2021
Follow-the-Regularized-Leader Routes to Chaos in Routing Games J. Bielawski Thiparat Chotibut Fryderyk Falniowski Grzegorz Kosiorowski M. Misiurewicz Georgios Piliouras AI4CE 58 26 0 16 Feb 2021
Survival of the strictest: Stable and unstable equilibria under regularized learning with partial information Angeliki Giannou Emmanouil-Vasileios Vlatakis-Gkaragkounis P. Mertikopoulos 109 36 0 12 Jan 2021