Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines

9 September 2018

Papers citing "Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines"

6 / 6 papers shown

Title
A Survey on Self-play Methods in Reinforcement Learning Chao Yu Zelai Xu Chengdong Ma Chao Yu Weijuan Tu ... Deheng Ye Wenbo Ding Yaodong Yang Yu Wang Yu Wang SyDa SSL OnRL 56 8 0 02 Aug 2024
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections Dustin Morrill Ryan DÓrazio Marc Lanctot J. R. Wright Michael Bowling Amy Greenwald 51 21 0 24 May 2022
Near-Optimal Learning of Extensive-Form Games with Imperfect Information Yunru Bai Chi Jin Song Mei Tiancheng Yu 21 26 0 03 Feb 2022
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning Eric Steinberger Adam Lerer Noam Brown 33 53 0 18 Jun 2020
Stochastic Regret Minimization in Extensive-Form Games Gabriele Farina Christian Kroer T. Sandholm 16 29 0 19 Feb 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 58 1,181 0 24 Nov 2019