Depth-Limited Solving for Imperfect-Information Games

21 May 2018

Papers citing "Depth-Limited Solving for Imperfect-Information Games"

32 / 32 papers shown

Title
$Preference-CFR$\:$ Beyond Nash Equilibrium for Better Game Strategies$ Preference-CFR $\:$ Beyond Nash Equilibrium for Better Game Strategies Qi Ju Thomas Tellier Meng Sun Zhemei Fang Yunfeng Luo 21 0 0 02 Nov 2024
AlphaZeroES: Direct score maximization outperforms planning loss minimization Carlos Martin Tuomas Sandholm 28 0 0 12 Jun 2024
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent Hang Xu Kai Li Bingyun Liu Haobo Fu Qiang Fu Junliang Xing Jian Cheng 26 3 0 22 Apr 2024
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning Boning Li Zhixuan Fang Longbo Huang 18 0 0 07 Mar 2024
Policy Space Response Oracles: A Survey Ariyan Bighashdel Yongzhao Wang Stephen Marcus McAleer Rahul Savani F. Oliehoek 30 6 0 04 Mar 2024
PokerGPT: An End-to-End Lightweight Solver for Multi-Player Texas Holdém via Large Language Model Chenghao Huang Yanbo Cao Yinlong Wen Tao Zhou Yanru Zhang OffRL LLMAG 37 6 0 04 Jan 2024
AI planning in the imagination: High-level planning on learned abstract search spaces Carlos Martin T. Sandholm 29 0 0 16 Aug 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang Yanchao Sun Ruijie Zheng Xiangyu Liu Benjamin Eysenbach T. Sandholm Furong Huang Stephen Marcus McAleer OOD 43 0 0 22 Jul 2023
Hierarchical Deep Counterfactual Regret Minimization Jiayu Chen Tian-Shing Lan Vaneet Aggarwal 6 2 0 27 May 2023
Methods and Mechanisms for Interactive Novelty Handling in Adversarial Environments Tung Thai Mingyu Shen M. Garg Ayush Kalani Nakul Vaidya ... Neeraj Varshney Chitta Baral Subbarao Kambhampati Jivko Sinapov matthias. scheutz 34 0 0 28 Feb 2023
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games Samuel Sokota Ryan DÓrazio Chun Kai Ling David J. Wu J. Zico Kolter Noam Brown 27 4 0 22 Jan 2023
A Survey of Decision Making in Adversarial Games Xiuxian Li Min Meng Yiguang Hong Jie-bin Chen AAML 35 12 0 16 Jul 2022
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving Luca Carminati Federico Cacciamani Marco Ciccone N. Gatti 19 15 0 18 Jun 2022
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret Stephen Marcus McAleer Gabriele Farina Marc Lanctot T. Sandholm 30 24 0 08 Jun 2022
DecisionHoldem: Safe Depth-Limited Solving With Diverse Opponents for Imperfect-Information Games Qibin Zhou Dongdong Bai Junge Zhang Fuqing Duan Kaiqi Huang 9 2 0 27 Jan 2022
Neural Recursive Belief States in Multi-Agent Reinforcement Learning Pol Moreno Edward Hughes Kevin R. McKee Bernardo Avila-Pires T. Weber 26 21 0 03 Feb 2021
Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning Weiming Liu Bin Li Julian Togelius 15 8 0 03 Dec 2020
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games Noam Brown A. Bakhtin Adam Lerer Qucheng Gong 15 133 0 27 Jul 2020
Unlocking the Potential of Deep Counterfactual Value Networks Ryan Zarick Bryan Pellegrino Noam Brown Caleb Banister OffRL 22 18 0 20 Jul 2020
Approximate exploitability: Learning a best response in large games Finbarr Timbers Nolan Bard Edward Lockhart Marc Lanctot Martin Schmid Neil Burch Julian Schrittwieser Thomas Hubert Michael Bowling AAML 6 27 0 20 Apr 2020
Empirical Analysis of Fictitious Play for Nash Equilibrium Computation in Multiplayer Games Sam Ganzfried 13 7 0 30 Jan 2020
Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning Hengyuan Hu Jakob N. Foerster OffRL 16 82 0 04 Dec 2019
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions Gabriele Farina Christian Kroer T. Sandholm 15 46 0 24 Oct 2019
Parallel Algorithm for Approximating Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning Sam Ganzfried Conner Laughlin C. Morefield 13 2 0 01 Oct 2019
Low-Variance and Zero-Variance Baselines for Extensive-Form Games Trevor Davis Martin Schmid Michael Bowling OffRL 11 19 0 22 Jul 2019
Rethinking Formal Models of Partially Observable Multiagent Decision Making Vojtěch Kovařík Martin Schmid Neil Burch Michael Bowling Viliam Lisý OffRL 12 54 0 26 Jun 2019
Building a Computer Mahjong Player via Deep Convolutional Neural Networks Shiqi Gao Fuminori Okuya Y. Kawahara Yoshimasa Tsuruoka 6 11 0 05 Jun 2019
Value Functions for Depth-Limited Solving in Zero-Sum Imperfect-Information Games Vojtěch Kovařík Dominik Seitz Viliam Lisý Jan Rudolf Shuo Sun Karel Ha FAtt 21 1 0 31 May 2019
Stable-Predictive Optimistic Counterfactual Regret Minimization Gabriele Farina Christian Kroer Noam Brown T. Sandholm 14 34 0 13 Feb 2019
Single Deep Counterfactual Regret Minimization Eric Steinberger BDL 9 40 0 22 Jan 2019
Deep Counterfactual Regret Minimization Noam Brown Adam Lerer Sam Gross T. Sandholm 11 213 0 01 Nov 2018
Solving Imperfect-Information Games via Discounted Regret Minimization Noam Brown T. Sandholm 11 165 0 11 Sep 2018