A Game-Theoretic Approach to Multi-Agent Trust Region Optimization

A Game-Theoretic Approach to Multi-Agent Trust Region Optimization

12 June 2021

Jun Wang

Papers citing "A Game-Theoretic Approach to Multi-Agent Trust Region Optimization"

4 / 4 papers shown

Title
Proximal Learning With Opponent-Learning Awareness S. Zhao Chris Xiaoxuan Lu Roger C. Grosse Jakob N. Foerster 23 21 0 18 Oct 2022
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning J. Kuba Ruiqing Chen Munning Wen Ying Wen Fanglei Sun Jun Wang Yaodong Yang 16 229 0 23 Sep 2021
Independent Policy Gradient Methods for Competitive Reinforcement Learning C. Daskalakis Dylan J. Foster Noah Golowich 62 158 0 11 Jan 2021
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving Ming Zhou Jun-Jie Luo Julian Villela Yaodong Yang David Rusu ... H. Ammar Hongbo Zhang Wulong Liu Jianye Hao Jun Wang 136 193 0 19 Oct 2020