Mutation-Driven Follow the Regularized Leader for Last-Iterate Convergence in Zero-Sum Games

18 June 2022

Papers citing "Mutation-Driven Follow the Regularized Leader for Last-Iterate Convergence in Zero-Sum Games"

18 / 18 papers shown

Title
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs Zhaowei Zhang Fengshuo Bai Qizhi Chen Chengdong Ma Mingzhi Wang Haoran Sun Zilong Zheng Yaodong Yang 104 4 0 26 Feb 2025
Nash Equilibrium and Learning Dynamics in Three-Player Matching $m$ -Action Games Yuma Fujimoto Kaito Ariu Kenshi Abe 39 1 0 16 Feb 2024
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 187 30,069 0 01 Mar 2022
Approximate exploitability: Learning a best response in large games Finbarr Timbers Nolan Bard Edward Lockhart Marc Lanctot Martin Schmid Neil Burch Julian Schrittwieser Thomas Hubert Michael Bowling AAML 24 27 0 20 Apr 2020
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization Julien Perolat Rémi Munos Jean-Baptiste Lespiau Shayegan Omidshafiei Mark Rowland ... David Balduzzi Bart De Vylder Georgios Piliouras Marc Lanctot K. Tuyls 32 84 0 19 Feb 2020
Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes Qi Lei Sai Ganesh Nagarajan Ioannis Panageas Tianlin Li 37 44 0 17 Feb 2020
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent Edward Lockhart Marc Lanctot Julien Pérolat Jean-Baptiste Lespiau Dustin Morrill Finbarr Timbers K. Tuyls 116 82 0 13 Mar 2019
Solving Imperfect-Information Games via Discounted Regret Minimization Noam Brown Tuomas Sandholm 100 166 0 11 Sep 2018
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines Martin Schmid Neil Burch Marc Lanctot Matej Moravcík Rudolf Kadlec Michael Bowling 107 64 0 09 Sep 2018
Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization C. Daskalakis Ioannis Panageas 50 178 0 11 Jul 2018
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile P. Mertikopoulos Bruno Lecouat Houssam Zenati Chuan-Sheng Foo V. Chandrasekhar Georgios Piliouras 108 294 0 07 Jul 2018
More Adaptive Algorithms for Adversarial Bandits Chen-Yu Wei Haipeng Luo 86 181 0 10 Jan 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot V. Zambaldi A. Gruslys Angeliki Lazaridou K. Tuyls Julien Perolat David Silver T. Graepel 82 628 0 02 Nov 2017
Training GANs with Optimism C. Daskalakis Andrew Ilyas Vasilis Syrgkanis Haoyang Zeng 109 514 0 31 Oct 2017
Cycles in adversarial regularized learning P. Mertikopoulos Christos H. Papadimitriou Georgios Piliouras 32 319 0 08 Sep 2017
Fast Convergence of Regularized Learning in Games Vasilis Syrgkanis Alekh Agarwal Haipeng Luo Robert Schapire 50 253 0 02 Jul 2015
Optimization, Learning, and Games with Predictable Sequences Alexander Rakhlin Karthik Sridharan 67 377 0 08 Nov 2013
Online Learning with Predictable Sequences Alexander Rakhlin Karthik Sridharan 131 355 0 18 Aug 2012