Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games

27 May 2022

Papers citing "Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games"

8 / 8 papers shown

Title
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions Chanwoo Park K. Zhang Asuman Ozdaglar 28 8 0 13 Jul 2023
Can We Find Nash Equilibria at a Linear Rate in Markov Games? Zhuoqing Song Jason D. Lee Zhuoran Yang 27 8 0 03 Mar 2023
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games Samuel Sokota Ryan DÓrazio Chun Kai Ling David J. Wu J. Zico Kolter Noam Brown 24 4 0 22 Jan 2023
Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games Shicong Cen Yuejie Chi S. Du Lin Xiao 51 35 0 03 Oct 2022
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning Sihan Zeng Thinh T. Doan J. Romberg 63 22 0 29 Sep 2021
Policy Mirror Descent for Reinforcement Learning: Linear Convergence, New Sampling Complexity, and Generalized Problem Classes Guanghui Lan 89 136 0 30 Jan 2021
Independent Policy Gradient Methods for Competitive Reinforcement Learning C. Daskalakis Dylan J. Foster Noah Golowich 62 158 0 11 Jan 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 133 1,198 0 16 Aug 2016