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DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
v1v2v3 (latest)

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

6 January 2017
Matej Moravcík
Martin Schmid
Neil Burch
Viliam Lisý
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
Michael Bradley Johanson
Michael Bowling
    BDL
ArXiv (abs)PDFHTML

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

50 / 306 papers shown
Title
Empirical Validation of the Independent Chip Model
Empirical Validation of the Independent Chip Model
Juho Kim
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0
0
30 May 2025
Generalization in Monitored Markov Decision Processes (Mon-MDPs)
Generalization in Monitored Markov Decision Processes (Mon-MDPs)
Montaser Mohammedalamen
Michael Bowling
94
0
0
13 May 2025
Meta-Learning in Self-Play Regret Minimization
Meta-Learning in Self-Play Regret Minimization
David Sychrovský
Martin Schmid
Michal Sustr
Michael Bowling
71
0
0
26 Apr 2025
Approximating Nash Equilibria in General-Sum Games via Meta-Learning
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
54
0
0
26 Apr 2025
Rethinking the Foundations for Continual Reinforcement Learning
Rethinking the Foundations for Continual Reinforcement Learning
Michael Bowling
Esraa Elelimy
CLLOffRLLRM
83
4
0
10 Apr 2025
Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers
Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers
Jake Grigsby
Yuqi Xie
Justin Sasek
Steven Zheng
Yuke Zhu
OffRL
87
1
0
06 Apr 2025
Faster Rates for No-Regret Learning in General Games via Cautious Optimism
Faster Rates for No-Regret Learning in General Games via Cautious Optimism
Ashkan Soleymani
Georgios Piliouras
Gabriele Farina
103
2
0
31 Mar 2025
Asynchronous Predictive Counterfactual Regret Minimization$^+$ Algorithm in Solving Extensive-Form Games
Asynchronous Predictive Counterfactual Regret Minimization+^++ Algorithm in Solving Extensive-Form Games
Linjian Meng
Youzhi Zhang
Zhenxing Ge
Tianpei Yang
Yang Gao
100
0
0
17 Mar 2025
Multi-Agent Q-Learning Dynamics in Random Networks: Convergence due to Exploration and Sparsity
A. Hussain
D. Leonte
Francesco Belardinelli
Raphael Huser
Dario Paccagnan
78
0
0
13 Mar 2025
Q-MARL: A quantum-inspired algorithm using neural message passing for large-scale multi-agent reinforcement learning
Kha Vo
Chin-Teng Lin
GNN
100
0
0
10 Mar 2025
On Separation Between Best-Iterate, Random-Iterate, and Last-Iterate Convergence of Learning in Games
Yang Cai
Gabriele Farina
Julien Grand-Clément
Christian Kroer
Chung-Wei Lee
Haipeng Luo
Weiqiang Zheng
77
1
0
04 Mar 2025
Two-Player Zero-Sum Differential Games with One-Sided Information
Two-Player Zero-Sum Differential Games with One-Sided Information
Mukesh Ghimire
Z. Xu
Yi Ren
SyDa
198
0
0
17 Feb 2025
A Survey on Large Language Model-Based Social Agents in Game-Theoretic
  Scenarios
A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios
Xiachong Feng
Longxu Dou
Ella Li
Qinghao Wang
Haoran Wang
Yu Guo
Chang Ma
Lingpeng Kong
LM&RoLM&MAELMLLMAGAI4CE
150
7
0
05 Dec 2024
Learning in Markov Games with Adaptive Adversaries: Policy Regret,
  Fundamental Barriers, and Efficient Algorithms
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms
Thanh Nguyen-Tang
Raman Arora
113
1
0
01 Nov 2024
System 2 Reasoning via Generality and Adaptation
System 2 Reasoning via Generality and Adaptation
Sejin Kim
Sundong Kim
LRMAI4CE
120
0
0
10 Oct 2024
Learning in Games with Progressive Hiding
Learning in Games with Progressive Hiding
Benjamin Heymann
Marc Lanctot
60
0
0
05 Sep 2024
GPU-Accelerated Counterfactual Regret Minimization
GPU-Accelerated Counterfactual Regret Minimization
Juho Kim
78
0
0
27 Aug 2024
In-Context Exploiter for Extensive-Form Games
In-Context Exploiter for Extensive-Form Games
Shuxin Li
Chang Yang
Youzhi Zhang
Pengdeng Li
Xinrun Wang
Xiao Huang
Hau Chan
Bo An
76
0
0
10 Aug 2024
Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan:
  A Multi-Player Cooperative Game under Imperfect Information
Evaluating and Enhancing LLMs Agent based on Theory of Mind in Guandan: A Multi-Player Cooperative Game under Imperfect Information
Yauwai Yim
Chunkit Chan
Tianyu Shi
Zheye Deng
Wei Fan
Tianshi Zheng
Yangqiu Song
LLMAG
98
13
0
05 Aug 2024
Perfect Information Monte Carlo with Postponing Reasoning
Perfect Information Monte Carlo with Postponing Reasoning
Jérôme Arjonilla
Abdallah Saffidine
Tristan Cazenave
66
0
0
05 Aug 2024
A Survey on Self-play Methods in Reinforcement Learning
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
SyDaSSLOnRL
168
9
0
02 Aug 2024
Neural Network-based Information Set Weighting for Playing
  Reconnaissance Blind Chess
Neural Network-based Information Set Weighting for Playing Reconnaissance Blind Chess
Timo Bertram
Johannes Fürnkranz
Martin Müller
108
1
0
08 Jul 2024
XQSV: A Structurally Variable Network to Imitate Human Play in Xiangqi
XQSV: A Structurally Variable Network to Imitate Human Play in Xiangqi
Chenliang Zhou
GNN
68
0
0
05 Jul 2024
A Simple, Solid, and Reproducible Baseline for Bridge Bidding AI
A Simple, Solid, and Reproducible Baseline for Bridge Bidding AI
Haruka Kita
Sotetsu Koyamada
Yotaro Yamaguchi
Shin Ishii
73
0
0
14 Jun 2024
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement
  Learning
FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
Wenzhe Li
Zihan Ding
Seth Karten
Chi Jin
103
2
0
04 Jun 2024
Advancing DRL Agents in Commercial Fighting Games: Training,
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Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment
Chen Zhang
Qiang He
Zhou Yuan
Elvis S. Liu
Hong Wang
Jian Zhao
Yang-Feng Wang
116
2
0
03 Jun 2024
Mixture of Public and Private Distributions in Imperfect Information
  Games
Mixture of Public and Private Distributions in Imperfect Information Games
Jérôme Arjonilla
Abdallah Saffidine
Tristan Cazenave
146
1
0
23 May 2024
Learning to Beat ByteRL: Exploitability of Collectible Card Game Agents
Learning to Beat ByteRL: Exploitability of Collectible Card Game Agents
Radovan Haluška
Martin Schmid
LLMAG
81
0
0
25 Apr 2024
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror
  Descent
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent
Hang Xu
Kai Li
Bingyun Liu
Haobo Fu
Qiang Fu
Junliang Xing
Jian Cheng
70
3
0
22 Apr 2024
Transformer Based Planning in the Observation Space with Applications to
  Trick Taking Card Games
Transformer Based Planning in the Observation Space with Applications to Trick Taking Card Games
Douglas Rebstock
Christopher Solinas
Nathan R Sturtevant
M. Buro
49
0
0
19 Apr 2024
HSVI-based Online Minimax Strategies for Partially Observable Stochastic
  Games with Neural Perception Mechanisms
HSVI-based Online Minimax Strategies for Partially Observable Stochastic Games with Neural Perception Mechanisms
R. Yan
G. Santos
G. Norman
David Parker
Marta Z. Kwiatkowska
69
2
0
16 Apr 2024
LookALike: Human Mimicry based collaborative decision making
LookALike: Human Mimicry based collaborative decision making
Rabimba Karanjai
Weidong Shi
43
0
0
16 Mar 2024
Trust in AI: Progress, Challenges, and Future Directions
Trust in AI: Progress, Challenges, and Future Directions
S. Afroogh
Ali Akbari
Evan Malone
Mohammadali Kargar
Hananeh Alambeigi
AI4TS
96
40
0
12 Mar 2024
Mastering the Game of Guandan with Deep Reinforcement Learning and
  Behavior Regulating
Mastering the Game of Guandan with Deep Reinforcement Learning and Behavior Regulating
Yifan YangGong
Haojun Pan
Lei Wang
72
1
0
21 Feb 2024
Enabling Multi-Agent Transfer Reinforcement Learning via Scenario
  Independent Representation
Enabling Multi-Agent Transfer Reinforcement Learning via Scenario Independent Representation
Ayesha Siddika Nipu
Siming Liu
Anthony Harris
41
2
0
13 Feb 2024
A Reinforcement Learning Approach for Dynamic Rebalancing in
  Bike-Sharing System
A Reinforcement Learning Approach for Dynamic Rebalancing in Bike-Sharing System
Jiaqi Liang
Sanjay Dominik Jena
Defeng Liu
Andrea Lodi
103
1
0
05 Feb 2024
PokerGPT: An End-to-End Lightweight Solver for Multi-Player Texas
  Holdém via Large Language Model
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
OffRLLLMAG
81
7
0
04 Jan 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single
  Controller: Convergence Beyond the Minty Property
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property
Ioannis Anagnostides
Ioannis Panageas
Gabriele Farina
Tuomas Sandholm
84
3
0
19 Dec 2023
Recording and Describing Poker Hands
Recording and Describing Poker Hands
Juho Kim
LMTD
55
0
0
18 Dec 2023
An Invitation to Deep Reinforcement Learning
An Invitation to Deep Reinforcement Learning
Bernhard Jaeger
Andreas Geiger
OffRLOOD
154
5
0
13 Dec 2023
Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification
Computing Perfect Bayesian Equilibria in Sequential Auctions with Verification
Vinzenz Thoma
Vitor Bosshard
Sven Seuken
155
1
0
07 Dec 2023
DanZero+: Dominating the GuanDan Game through Reinforcement Learning
DanZero+: Dominating the GuanDan Game through Reinforcement Learning
Youpeng Zhao
Yudong Lu
Jian Zhao
Wen-gang Zhou
Houqiang Li
82
6
0
05 Dec 2023
History Filtering in Imperfect Information Games: Algorithms and
  Complexity
History Filtering in Imperfect Information Games: Algorithms and Complexity
Christopher Solinas
Douglas Rebstock
Nathan R Sturtevant
M. Buro
72
0
0
24 Nov 2023
PcLast: Discovering Plannable Continuous Latent States
PcLast: Discovering Plannable Continuous Latent States
Anurag Koul
Shivakanth Sujit
Shaoru Chen
Ben Evans
Lili Wu
...
Yonathan Efroni
Lekan Molu
Miro Dudik
John Langford
Alex Lamb
OffRLBDL
102
1
0
06 Nov 2023
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games
Yang Cai
Gabriele Farina
Julien Grand-Clément
Christian Kroer
Chung-Wei Lee
Haipeng Luo
Weiqiang Zheng
80
2
0
01 Nov 2023
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
Language Agents with Reinforcement Learning for Strategic Play in the Werewolf Game
Zelai Xu
Chao Yu
Fei Fang
Yu Wang
Yi Wu
LLMAG
123
95
0
29 Oct 2023
Partially Observable Stochastic Games with Neural Perception Mechanisms
Partially Observable Stochastic Games with Neural Perception Mechanisms
R. Yan
G. Santos
G. Norman
David Parker
Marta Z. Kwiatkowska
80
4
0
17 Oct 2023
Guarantees for Self-Play in Multiplayer Games via Polymatrix
  Decomposability
Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability
Revan MacQueen
James R. Wright
72
2
0
17 Oct 2023
BridgeHand2Vec Bridge Hand Representation
BridgeHand2Vec Bridge Hand Representation
Anna Sztyber-Betley
Filip Kolodziej
Jan Betley
Piotr Duszak
GAN
38
0
0
10 Oct 2023
$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program
  Synthesis
B\mathcal{B}B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
Zishun Yu
Yunzhe Tao
Liyu Chen
Tao Sun
Hongxia Yang
80
13
0
04 Oct 2023
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