Deep Counterfactual Regret Minimization

1 November 2018

Papers citing "Deep Counterfactual Regret Minimization"

34 / 34 papers shown

Title
Approximating Nash Equilibria in General-Sum Games via Meta-Learning David Sychrovský Christopher Solinas Revan MacQueen Kevin Wang James Wright Nathan R Sturtevant Michael Bowling 21 0 0 26 Apr 2025
Sensor Scheduling in Intrusion Detection Games with Uncertain Payoffs Jayanth Bhargav Shreyas Sundaram Mahsa Ghasemi 22 0 0 20 Apr 2025
Learning Nash Equilibrial Hamiltonian for Two-Player Collision-Avoiding Interactions Lei Zhang Siddharth Das Tanner Merry Wenlong Zhang Yi Ren 54 0 0 10 Mar 2025
Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL Wichayaporn Wongkamjan Yanze Wang Feng Gu Denis Peskoff Jonathan K. Kummerfeld Jonathan May Jordan Lee Boyd-Graber 55 0 0 18 Feb 2025
Two-Player Zero-Sum Differential Games with One-Sided Information Mukesh Ghimire Z. Xu Yi Ren SyDa 95 0 0 17 Feb 2025
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 51 8 0 02 Aug 2024
Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments Hongrui Zheng Zhijun Zhuang Stephanie Wu Shuo Yang Rahul Mangharam 30 1 0 17 Mar 2024
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning Boning Li Zhixuan Fang Longbo Huang 20 0 0 07 Mar 2024
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
Learning not to Regret David Sychrovský Michal Sustr Elnaz Davoodi Michael Bowling Marc Lanctot Martin Schmid 34 3 0 02 Mar 2023
DanZero: Mastering GuanDan Game with Reinforcement Learning Yudong Lu Jian Zhao Youpeng Zhao Wen-gang Zhou Houqiang Li 11 6 0 31 Oct 2022
Learning to Deceive in Multi-Agent Hidden Role Games Matthew Aitchison L. Benke Penny Sweetser OffRL 21 5 0 04 Sep 2022
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
Offline Equilibrium Finding Shuxin Li Xinrun Wang Youzhi Zhang Jakub Cerny Pengdeng Li Hau Chan Bo An OffRL 43 2 0 12 Jul 2022
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games Lei Zhang Mukesh Ghimire Wenlong Zhang Zhenni Xu Yi Ren 27 7 0 05 Jul 2022
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
PerfectDou: Dominating DouDizhu with Perfect Information Distillation Yang Guan Minghuan Liu Weijun Hong Weinan Zhang Fei Fang Guangjun Zeng Yue Lin 27 26 0 30 Mar 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
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael Bowling 18 3 0 29 Oct 2021
Independent Natural Policy Gradient Always Converges in Markov Potential Games Roy Fox Stephen Marcus McAleer W. Overman Ioannis Panageas 32 49 0 20 Oct 2021
Deep Synoptic Monte Carlo Planning in Reconnaissance Blind Chess Gregory Clark 30 9 0 05 Oct 2021
Last-iterate Convergence in Extensive-Form Games Chung-Wei Lee Christian Kroer Haipeng Luo 17 39 0 27 Jun 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha Jingru Xie Wenye Ma Sheng Zhang Xiangru Lian Xia Hu Ji Liu 14 117 0 11 Jun 2021
TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning Peng Sun Jiechao Xiong Lei Han Xinghai Sun Shuxing Li Jiawei Xu Meng Fang Zhengyou Zhang OffRL LRM 33 19 0 25 Nov 2020
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games Noam Brown A. Bakhtin Adam Lerer Qucheng Gong 20 133 0 27 Jul 2020
Unlocking the Potential of Deep Counterfactual Value Networks Ryan Zarick Bryan Pellegrino Noam Brown Caleb Banister OffRL 24 18 0 20 Jul 2020
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning Eric Steinberger Adam Lerer Noam Brown 33 53 0 18 Jun 2020
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kaipeng Zhang Zhuoran Yang Tamer Basar 55 1,181 0 24 Nov 2019
RLCard: A Toolkit for Reinforcement Learning in Card Games Daochen Zha Kwei-Herng Lai Yuanpu Cao Songyi Huang Ruzhe Wei Junyu Guo Xia Hu OffRL 18 58 0 10 Oct 2019
Bounds for Approximate Regret-Matching Algorithms Scott Fujimoto Dustin Morrill J. R. Wright 9 3 0 03 Oct 2019
OpenSpiel: A Framework for Reinforcement Learning in Games Marc Lanctot Edward Lockhart Jean-Baptiste Lespiau V. Zambaldi Satyaki Upadhyay ... Julian Schrittwieser Thomas W. Anthony Edward Hughes Ivo Danihelka Jonah Ryan-Davis OffRL 22 248 0 26 Aug 2019
Adversarial Policies: Attacking Deep Reinforcement Learning Adam Gleave Michael Dennis Cody Wild Neel Kant Sergey Levine Stuart J. Russell AAML 27 349 0 25 May 2019
Robust Multi-agent Counterfactual Prediction A. Peysakhovich Christian Kroer Adam Lerer 19 11 0 03 Apr 2019
Lazy-CFR: fast and near optimal regret minimization for extensive games with imperfect information Yichi Zhou Tongzheng Ren J. Li Dong Yan Jun Zhu 16 13 0 10 Oct 2018