DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker

6 January 2017

Michael Bradley Johanson

Michael Bowling

BDL

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Papers citing "DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker"

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Title
Efficient Last-iterate Convergence Algorithms in Solving Games Lin Meng Zhenxing Ge Wenbin Li Bo An Yang Gao Wenbin Li Tianpei Yang Bo An Yang Gao 42 1 0 22 Aug 2023
AI planning in the imagination: High-level planning on learned abstract search spaces Carlos Martin Tuomas Sandholm 59 0 0 16 Aug 2023
PokerKit: A Comprehensive Python Library for Fine-Grained Multi-Variant Poker Game Simulations Juho Kim 11 3 0 08 Aug 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang Yanchao Sun Ruijie Zheng Xiangyu Liu Benjamin Eysenbach Tuomas Sandholm Furong Huang Stephen Marcus McAleer OOD 59 0 0 22 Jul 2023
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games Martin Balla G. E. Long Dominik Jeurissen J. Goodman Raluca D. Gaina Diego Perez-Liebana LMTD OffRL OnRL 67 1 0 19 Jul 2023
Composing Efficient, Robust Tests for Policy Selection Dustin Morrill Thomas J. Walsh D. Hernández Peter R. Wurman Peter Stone 50 0 0 12 Jun 2023
Dual policy as self-model for planning J. Yoo Fernanda De La Torre G. R. Yang 18 1 0 07 Jun 2023
Strategic Reasoning with Language Models Kanishk Gandhi Dorsa Sadigh Noah D. Goodman LM&Ro LRM 57 39 0 30 May 2023
Hierarchical Deep Counterfactual Regret Minimization Jiayu Chen Tian-Shing Lan Vaneet Aggarwal 49 3 0 27 May 2023
Regret Matching+: (In)Stability and Fast Convergence in Games Gabriele Farina Julien Grand-Clément Christian Kroer Chung-Wei Lee Haipeng Luo 36 6 0 24 May 2023
Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria Fivos Kalogiannis Ioannis Panageas 73 8 0 23 May 2023
Information Design in Multi-Agent Reinforcement Learning Yue Lin Wenhao Li H. Zha Baoxiang Wang 45 10 0 08 May 2023
The Update-Equivalence Framework for Decision-Time Planning Samuel Sokota Gabriele Farina David J. Wu Hengyuan Hu Kevin A. Wang J. Zico Kolter Noam Brown 58 3 0 25 Apr 2023
Can Large Language Models Play Text Games Well? Current State-of-the-Art and Open Questions Chen Feng Tsai Xiaochen Zhou Sierra S. Liu Jing Li Mo Yu Hongyuan Mei LLMAG ELM AI4MH LM&MA 44 30 0 06 Apr 2023
Learning not to Regret David Sychrovský Michal Sustr Elnaz Davoodi Michael Bowling Marc Lanctot Martin Schmid 58 3 0 02 Mar 2023
Population-size-Aware Policy Optimization for Mean-Field Games Pengdeng Li Xinrun Wang Shuxin Li Hau Chan Bo An 45 2 0 07 Feb 2023
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning Zun Li Marc Lanctot Kevin R. McKee Luke Marris I. Gemp Daniel Hennes Paul Muller Kate Larson Yoram Bachrach Michael P. Wellman 42 11 0 01 Feb 2023
Reinforcement Learning from Diverse Human Preferences Wanqi Xue Bo An Shuicheng Yan Zhongwen Xu 16 24 0 27 Jan 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 72 4 0 22 Jan 2023
Mutation Testing of Deep Reinforcement Learning Based on Real Faults Florian Tambon Vahid Majdinasab Amin Nikanjam Foutse Khomh G. Antoniol 78 7 0 13 Jan 2023
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games Chun Kai Ling J. Zico Kolter Fei Fang 47 0 0 29 Dec 2022
Adapting to game trees in zero-sum imperfect information games Côme Fiegel Pierre Ménard Tadashi Kozuno Rémi Munos Vianney Perchet Michal Valko 167 10 0 23 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Qiyue Yin Tongtong Yu S. Shen Jun Yang Meijing Zhao Kaiqi Huang Bin Liang Liangsheng Wang OffRL 53 13 0 01 Dec 2022
Optimal Conservative Offline RL with General Function Approximation via Augmented Lagrangian Paria Rashidinejad Hanlin Zhu Kunhe Yang Stuart J. Russell Jiantao Jiao OffRL 138 29 0 01 Nov 2022
DanZero: Mastering GuanDan Game with Reinforcement Learning Yudong Lu Jian Zhao Youpeng Zhao Wen-gang Zhou Houqiang Li 38 6 0 31 Oct 2022
Observable Perfect Equilibrium Sam Ganzfried 8 0 0 29 Oct 2022
HSVI can solve zero-sum Partially Observable Stochastic Games Aurélien Delage Olivier Buffet J. Dibangoye Abdallah Saffidine 81 11 0 26 Oct 2022
On the convergence of policy gradient methods to Nash equilibria in general stochastic games Angeliki Giannou Kyriakos Lotidis P. Mertikopoulos Emmanouil-Vasileios Vlatakis-Gkaragkounis 75 17 0 17 Oct 2022
Activation Learning by Local Competitions Hongchao Zhou AAML 52 7 0 26 Sep 2022
Why Deep Learning's Performance Data Are Misleading J. Weng 22 10 0 23 Aug 2022
Learning Correlated Equilibria in Mean-Field Games Paul Muller Romuald Elie Mark Rowland Mathieu Lauriere Julien Perolat Sarah Perrin Matthieu Geist Georgios Piliouras Olivier Pietquin K. Tuyls 56 6 0 22 Aug 2022
Efficiently Computing Nash Equilibria in Adversarial Team Markov Games Fivos Kalogiannis Ioannis Anagnostides Ioannis Panageas Emmanouil-Vasileios Vlatakis-Gkaragkounis Vaggos Chatziafratis S. Stavroulakis 57 13 0 03 Aug 2022
Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess T. Bertram Johannes Furnkranz Martin Müller SSL OnRL 67 7 0 03 Aug 2022
A Maintenance Planning Framework using Online and Offline Deep Reinforcement Learning Zaharah Bukhsh N. Jansen Hajo Molegraaf OffRL AI4CE 85 6 0 01 Aug 2022
Mimetic Models: Ethical Implications of AI that Acts Like You Reid McIlroy-Young Jon M. Kleinberg S. Sen Solon Barocas Ashton Anderson 30 16 0 19 Jul 2022
Fast Convergence of Optimistic Gradient Ascent in Network Zero-Sum Extensive Form Games Georgios Piliouras Lillian J. Ratliff Ryann Sim Stratis Skoulakis MLT 59 3 0 18 Jul 2022
A Survey of Decision Making in Adversarial Games Xiuxian Li Min Meng Yiguang Hong Jie-bin Chen AAML 66 14 0 16 Jul 2022
Algorithms to estimate Shapley value feature attributions Hugh Chen Ian Covert Scott M. Lundberg Su-In Lee TDI FAtt 63 220 0 15 Jul 2022
A Simple Adaptive Procedure Converging to Forgiving Correlated Equilibria Hugh Zhang 47 4 0 13 Jul 2022
Self-Explaining Deviations for Coordination Hengyuan Hu Samuel Sokota David J. Wu A. Bakhtin Andrei Lupu Brandon Cui Jakob N. Foerster 46 2 0 13 Jul 2022
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning Julien Perolat Bart De Vylder Daniel Hennes Eugene Tarassov Florian Strub ... Rémi Munos David Silver Satinder Singh Demis Hassabis K. Tuyls 46 188 0 30 Jun 2022
Generalized Beliefs for Cooperative AI Darius Muglich L. Zintgraf Christian Schroeder de Witt Shimon Whiteson Jakob N. Foerster 46 7 0 26 Jun 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 38 15 0 18 Jun 2022
Near-Optimal No-Regret Learning Dynamics for General Convex Games Gabriele Farina Ioannis Anagnostides Haipeng Luo Chung‐Wei Lee Christian Kroer Tuomas Sandholm 33 27 0 17 Jun 2022
Principal Trade-off Analysis Alexander Strang David Sewell Alexander Kim K. Alcedo D. Rosenbluth 25 1 0 09 Jun 2022
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret Stephen Marcus McAleer Gabriele Farina Marc Lanctot Tuomas Sandholm 105 25 0 08 Jun 2022
Understanding and Preventing Capacity Loss in Reinforcement Learning Clare Lyle Mark Rowland Will Dabney CLL 59 112 0 20 Apr 2022
Metaethical Perspectives on 'Benchmarking' AI Ethics Travis LaCroix A. Luccioni 38 8 0 11 Apr 2022
DouZero+: Improving DouDizhu AI by Opponent Modeling and Coach-guided Learning Youpeng Zhao Jian Zhao Xu Hu Wen-gang Zhou Houqiang Li 43 15 0 06 Apr 2022
PerfectDou: Dominating DouDizhu with Perfect Information Distillation Yang Guan Minghuan Liu Weijun Hong Weinan Zhang Fei Fang Guangjun Zeng Yue Lin 53 26 0 30 Mar 2022