ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret

8 June 2022

Papers citing "ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret"

7 / 7 papers shown

Title
JiangJun: Mastering Xiangqi by Tackling Non-Transitivity in Two-Player Zero-Sum Games Yang Li Kun Xiong Yingping Zhang Jiangcheng Zhu Stephen Marcus McAleer Wei Pan Jun Wang Zonghong Dai Yaodong Yang 39 2 0 09 Aug 2023
ASP: Learn a Universal Neural Solver! Chenguang Wang Zhouliang Yu Stephen Marcus McAleer Tianshu Yu Yao-Chun Yang AAML 32 24 0 01 Mar 2023
MANSA: Learning Fast and Slow in Multi-Agent Systems D. Mguni Hao Chen Taher Jafferjee Jianhong Wang Long Fei Xidong Feng Stephen Marcus McAleer Feifei Tong Jun Wang Yaodong Yang 30 1 0 12 Feb 2023
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games Stephen Marcus McAleer JB Lanier Kevin A. Wang Pierre Baldi Roy Fox T. Sandholm 35 18 0 13 Jul 2022
A Game-Theoretic Framework for Managing Risk in Multi-Agent Systems Oliver Slumbers D. Mguni Stephen Marcus McAleer Stefano B. Blumberg Jun Wang Yaodong Yang 32 9 0 30 May 2022
Independent Policy Gradient Methods for Competitive Reinforcement Learning C. Daskalakis Dylan J. Foster Noah Golowich 64 159 0 11 Jan 2021
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent Gabriele Farina Christian Kroer T. Sandholm 51 72 0 28 Jul 2020