Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games

8 February 2021

Papers citing "Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games"

6 / 56 papers shown

Title
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces Chi Jin Qinghua Liu Tiancheng Yu 26 50 0 07 Jun 2021
Decentralized Q-Learning in Zero-sum Markov Games M. O. Sayin Kaipeng Zhang David S. Leslie Tamer Basar Asuman Ozdaglar 10 83 0 04 Jun 2021
Global Convergence of Multi-Agent Policy Gradient in Markov Potential Games Stefanos Leonardos W. Overman Ioannis Panageas Georgios Piliouras 24 118 0 03 Jun 2021
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization Shicong Cen Yuting Wei Yuejie Chi 26 77 0 31 May 2021
Complexity Lower Bounds for Nonconvex-Strongly-Concave Min-Max Optimization Haochuan Li Yi Tian Jingzhao Zhang Ali Jadbabaie 24 40 0 18 Apr 2021
Independent Policy Gradient Methods for Competitive Reinforcement Learning C. Daskalakis Dylan J. Foster Noah Golowich 62 159 0 11 Jan 2021