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Solving Games with Functional Regret Estimation

28 November 2014

Papers citing "Solving Games with Functional Regret Estimation"

24 / 24 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 168 9 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 124 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 119 28 0 30 Mar 2022
Near-Optimal Learning of Extensive-Form Games with Imperfect Information Yunru Bai Chi Jin Song Mei Tiancheng Yu 104 26 0 03 Feb 2022
Learning to Be Cautious Montaser Mohammedalamen Dustin Morrill Alexander Sieusahai Yash Satsangi Michael Bowling 68 3 0 29 Oct 2021
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent Weiming Liu Huacong Jiang Bin Li Houqiang Li 57 10 0 11 Oct 2021
Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction Report Michael Walton Viliam Lisý 43 5 0 27 Feb 2021
The Advantage Regret-Matching Actor-Critic A. Gruslys Marc Lanctot Rémi Munos Finbarr Timbers Martin Schmid ... Jean-Baptiste Lespiau John Schultz M. G. Azar Michael Bowling K. Tuyls OffRL 73 28 0 27 Aug 2020
Unlocking the Potential of Deep Counterfactual Value Networks Ryan Zarick Bryan Pellegrino Noam Brown Caleb Banister OffRL 66 18 0 20 Jul 2020
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning Eric Steinberger Adam Lerer Noam Brown 132 54 0 18 Jun 2020
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory Yunlong Lu Kai Yan AI4CE 172 13 0 17 Jan 2020
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of $f$ -Regression Counterfactual Regret Minimization Ryan DÓrazio Dustin Morrill J. R. Wright Michael Bowling 104 11 0 06 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 231 1,228 0 24 Nov 2019
Combining No-regret and Q-learning Ian A. Kash Michael Sullins Katja Hofmann OffRL 105 17 0 07 Oct 2019
Bounds for Approximate Regret-Matching Algorithms Scott Fujimoto Dustin Morrill J. R. Wright 72 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 135 254 0 26 Aug 2019
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent Edward Lockhart Marc Lanctot Julien Pérolat Jean-Baptiste Lespiau Dustin Morrill Finbarr Timbers K. Tuyls 179 82 0 13 Mar 2019
Double Neural Counterfactual Regret Minimization Hui Li Kailiang Hu Zhibang Ge Tao Jiang Yuan Qi Le Song 71 52 0 27 Dec 2018
Deep Counterfactual Regret Minimization Noam Brown Adam Lerer Sam Gross Tuomas Sandholm 183 215 0 01 Nov 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments S. Srinivasan Marc Lanctot V. Zambaldi Julien Perolat K. Tuyls Rémi Munos Michael Bowling 81 149 0 21 Oct 2018
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines Martin Schmid Neil Burch Marc Lanctot Matej Moravcík Rudolf Kadlec Michael Bowling 158 64 0 09 Sep 2018
Regret Minimization for Partially Observable Deep Reinforcement Learning Peter H. Jin Kurt Keutzer Sergey Levine 83 51 0 31 Oct 2017
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games Johannes Heinrich David Silver SSL 97 400 0 03 Mar 2016
Imperfect-Recall Abstractions with Bounds in Games Christian Kroer Tuomas Sandholm 80 33 0 11 Sep 2014