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Solving Imperfect-Information Games via Discounted Regret Minimization
v1v2v3 (latest)

Solving Imperfect-Information Games via Discounted Regret Minimization

11 September 2018
Noam Brown
Tuomas Sandholm
ArXiv (abs)PDFHTML

Papers citing "Solving Imperfect-Information Games via Discounted Regret Minimization"

50 / 77 papers shown
Title
Deep (Predictive) Discounted Counterfactual Regret Minimization
Deep (Predictive) Discounted Counterfactual Regret Minimization
Hang Xu
Kai Li
Haobo Fu
Qiang Fu
Junliang Xing
Jian Cheng
91
0
0
11 Nov 2025
Convergence of Regret Matching in Potential Games and Constrained Optimization
Convergence of Regret Matching in Potential Games and Constrained Optimization
Ioannis Anagnostides
Emanuel Tewolde
B. Zhang
Ioannis Panageas
Vincent Conitzer
Tuomas Sandholm
196
1
0
20 Oct 2025
Beyond Outcome-Based Imperfect-Recall: Higher-Resolution Abstractions for Imperfect-Information Games
Beyond Outcome-Based Imperfect-Recall: Higher-Resolution Abstractions for Imperfect-Information Games
Yanchang Fu
Qiyue Yin
Shengda Liu
Pei Xu
K. Huang
117
1
0
16 Oct 2025
Robust Adversarial Reinforcement Learning in Stochastic Games via Sequence Modeling
Robust Adversarial Reinforcement Learning in Stochastic Games via Sequence Modeling
Xiaohang Tang
Zhuowen Cheng
Satyabrat Kumar
112
0
0
13 Oct 2025
Scale-Invariant Regret Matching and Online Learning with Optimal Convergence: Bridging Theory and Practice in Zero-Sum Games
Scale-Invariant Regret Matching and Online Learning with Optimal Convergence: Bridging Theory and Practice in Zero-Sum Games
B. Zhang
Ioannis Anagnostides
Tuomas Sandholm
148
1
0
06 Oct 2025
Beyond Game Theory Optimal: Profit-Maximizing Poker Agents for No-Limit Holdem
Beyond Game Theory Optimal: Profit-Maximizing Poker Agents for No-Limit Holdem
SeungHyun Yi
Seungjun Yi
68
0
0
28 Sep 2025
Efficient Last-Iterate Convergence in Regret Minimization via Adaptive Reward Transformation
Efficient Last-Iterate Convergence in Regret Minimization via Adaptive Reward Transformation
Hang Ren
Yulin Wu
Shuhan Qi
Jiajia Zhang
Xiaozhen Sun
Tianzi Ma
Xuan Wang
140
0
0
17 Sep 2025
Last-Iterate Convergence in Adaptive Regret Minimization for Approximate Extensive-Form Perfect Equilibrium
Last-Iterate Convergence in Adaptive Regret Minimization for Approximate Extensive-Form Perfect Equilibrium
Hang Ren
Xiaozhen Sun
Tianzi Ma
Jiajia Zhang
Xuan Wang
96
0
0
11 Aug 2025
Solving Pasur Using GPU-Accelerated Counterfactual Regret Minimization
Solving Pasur Using GPU-Accelerated Counterfactual Regret Minimization
Sina Baghal
40
0
0
06 Aug 2025
Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval
Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval
Wenhao Yang
Sifan Yang
Lijun Zhang
145
0
0
26 May 2025
Meta-Learning in Self-Play Regret Minimization
Meta-Learning in Self-Play Regret Minimization
David Sychrovský
Martin Schmid
Michal Sustr
Michael Bowling
179
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
206
0
0
26 Apr 2025
Faster Game Solving via Asymmetry of Step Sizes
Faster Game Solving via Asymmetry of Step Sizes
Linjian Meng
Youzhi Zhang
Youzhi Zhang
Zhenxing Ge
Yang Gao
277
1
0
17 Mar 2025
Barriers to Welfare Maximization with No-Regret Learning
Barriers to Welfare Maximization with No-Regret Learning
Ioannis Anagnostides
Alkis Kalavasis
Tuomas Sandholm
223
2
0
04 Nov 2024
GPU-Accelerated Counterfactual Regret Minimization
GPU-Accelerated Counterfactual Regret Minimization
Juho Kim
267
0
0
27 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
Wenbo Ding
Yu Wang
Yu Wang
SyDaSSLOnRL
638
21
0
02 Aug 2024
A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence
A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate ConvergenceInternational Conference on Learning Representations (ICLR), 2024
Mingyang Liu
Gabriele Farina
Asuman Ozdaglar
361
3
0
01 Aug 2024
LiteEFG: An Efficient Python Library for Solving Extensive-form Games
LiteEFG: An Efficient Python Library for Solving Extensive-form Games
Mingyang Liu
Gabriele Farina
Asuman Ozdaglar
151
2
0
29 Jul 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
179
7
0
22 Apr 2024
RL-CFR: Improving Action Abstraction for Imperfect Information
  Extensive-Form Games with Reinforcement Learning
RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning
Boning Li
Zhixuan Fang
Longbo Huang
125
3
0
07 Mar 2024
Understanding Iterative Combinatorial Auction Designs via Multi-Agent
  Reinforcement Learning
Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning
G. dÉon
N. Newman
Kevin Leyton-Brown
159
0
0
29 Feb 2024
Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret
  Minimization
Easy as ABCs: Unifying Boltzmann Q-Learning and Counterfactual Regret Minimization
Luca DÁmico-Wong
Hugh Zhang
Marc Lanctot
David C. Parkes
OffRL
128
0
0
19 Feb 2024
Discounted Adaptive Online Learning: Towards Better Regularization
Discounted Adaptive Online Learning: Towards Better Regularization
Zhiyu Zhang
David Bombara
Heng Yang
251
11
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
222
11
0
04 Jan 2024
Efficient Learning in Polyhedral Games via Best Response Oracles
Efficient Learning in Polyhedral Games via Best Response Oracles
Darshan Chakrabarti
Gabriele Farina
Christian Kroer
184
4
0
06 Dec 2023
AI planning in the imagination: High-level planning on learned abstract
  search spaces
AI planning in the imagination: High-level planning on learned abstract search spaces
Carlos Martin
Tuomas Sandholm
167
0
0
16 Aug 2023
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games
Block-Coordinate Methods and Restarting for Solving Extensive-Form GamesNeural Information Processing Systems (NeurIPS), 2023
D. Chakrabarti
Jelena Diakonikolas
Christian Kroer
172
7
0
31 Jul 2023
Learning not to Regret
Learning not to RegretAAAI Conference on Artificial Intelligence (AAAI), 2023
David Sychrovský
Michal Sustr
Elnaz Davoodi
Michael Bowling
Marc Lanctot
Martin Schmid
246
4
0
02 Mar 2023
Methods and Mechanisms for Interactive Novelty Handling in Adversarial
  Environments
Methods and Mechanisms for Interactive Novelty Handling in Adversarial EnvironmentsAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Tung Thai
Mingyu Shen
M. Garg
Ayush Kalani
Nakul Vaidya
...
Neeraj Varshney
Chitta Baral
Subbarao Kambhampati
Jivko Sinapov
matthias. scheutz
213
0
0
28 Feb 2023
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games
On the Convergence of No-Regret Learning Dynamics in Time-Varying GamesNeural Information Processing Systems (NeurIPS), 2023
Ioannis Anagnostides
Ioannis Panageas
Gabriele Farina
Tuomas Sandholm
358
23
0
26 Jan 2023
ApproxED: Approximate exploitability descent via learned best responses
ApproxED: Approximate exploitability descent via learned best responsesAdaptive Agents and Multi-Agent Systems (AAMAS), 2023
Carlos Martin
Tuomas Sandholm
382
1
0
20 Jan 2023
A Survey of Decision Making in Adversarial Games
A Survey of Decision Making in Adversarial GamesScience China Information Sciences (Sci. China Inf. Sci.), 2022
Xiuxian Li
Min Meng
Yiguang Hong
Jie-bin Chen
AAML
263
21
0
16 Jul 2022
Offline Equilibrium Finding
Offline Equilibrium Finding
Shuxin Li
Xinrun Wang
Youzhi Zhang
Jakub Cerny
Pengdeng Li
Hau Chan
Bo An
OffRL
304
2
0
12 Jul 2022
The Power of Regularization in Solving Extensive-Form Games
The Power of Regularization in Solving Extensive-Form GamesInternational Conference on Learning Representations (ICLR), 2022
Ming-Yuan Liu
Asuman Ozdaglar
Tiancheng Yu
Jianchao Tan
310
26
0
19 Jun 2022
Mutation-Driven Follow the Regularized Leader for Last-Iterate
  Convergence in Zero-Sum Games
Mutation-Driven Follow the Regularized Leader for Last-Iterate Convergence in Zero-Sum GamesConference on Uncertainty in Artificial Intelligence (UAI), 2022
Kenshi Abe
Mitsuki Sakamoto
Atsushi Iwasaki
148
22
0
18 Jun 2022
Generalized Bandit Regret Minimizer Framework in Imperfect Information Extensive-Form Game
Lin Meng
Yang Gao
347
1
0
11 Mar 2022
Solving optimization problems with Blackwell approachability
Solving optimization problems with Blackwell approachabilityMathematics of Operations Research (MOR), 2022
Julien Grand-Clément
Christian Kroer
155
5
0
24 Feb 2022
DecisionHoldem: Safe Depth-Limited Solving With Diverse Opponents for
  Imperfect-Information Games
DecisionHoldem: Safe Depth-Limited Solving With Diverse Opponents for Imperfect-Information Games
Qibin Zhou
Dongdong Bai
Junge Zhang
Fuqing Duan
Kaiqi Huang
81
2
0
27 Jan 2022
Public Information Representation for Adversarial Team Games
Public Information Representation for Adversarial Team Games
Luca Carminati
Federico Cacciamani
Marco Ciccone
N. Gatti
125
9
0
25 Jan 2022
Anytime PSRO for Two-Player Zero-Sum Games
Anytime PSRO for Two-Player Zero-Sum Games
Alexander Shmakov
Kevin A. Wang
John Lanier
Marc Lanctot
Pierre Baldi
Tuomas Sandholm
Roy Fox
264
17
0
19 Jan 2022
Revisiting Game Representations: The Hidden Costs of Efficiency in
  Sequential Decision-making Algorithms
Revisiting Game Representations: The Hidden Costs of Efficiency in Sequential Decision-making Algorithms
Vojtěch Kovařík
David Milec
Michal Sustr
Dominik Seitz
Viliam Lisý
151
0
0
20 Dec 2021
Uncoupled Bandit Learning towards Rationalizability: Benchmarks,
  Barriers, and Algorithms
Uncoupled Bandit Learning towards Rationalizability: Benchmarks, Barriers, and Algorithms
Jibang Wu
Haifeng Xu
Fan Yao
272
0
0
10 Nov 2021
Equivalence Analysis between Counterfactual Regret Minimization and
  Online Mirror Descent
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror DescentInternational Conference on Machine Learning (ICML), 2021
Weiming Liu
Huacong Jiang
Bin Li
Houqiang Li
222
13
0
11 Oct 2021
No-Press Diplomacy from Scratch
No-Press Diplomacy from Scratch
A. Bakhtin
David J. Wu
Adam Lerer
Noam Brown
252
46
0
06 Oct 2021
Last-iterate Convergence in Extensive-Form Games
Last-iterate Convergence in Extensive-Form GamesNeural Information Processing Systems (NeurIPS), 2021
Chung-Wei Lee
Christian Kroer
Haipeng Luo
342
48
0
27 Jun 2021
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning
DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021
Daochen Zha
Jingru Xie
Wenye Ma
Sheng Zhang
Xiangru Lian
Helen Zhou
Ji Liu
153
141
0
11 Jun 2021
Better Regularization for Sequential Decision Spaces: Fast Convergence
  Rates for Nash, Correlated, and Team Equilibria
Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team EquilibriaACM Conference on Economics and Computation (EC), 2021
Gabriele Farina
Christian Kroer
Tuomas Sandholm
142
30
0
27 May 2021
CFR-MIX: Solving Imperfect Information Extensive-Form Games with
  Combinatorial Action Space
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action SpaceInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Shuxin Li
Youzhi Zhang
Xinrun Wang
Wanqi Xue
Bo An
126
8
0
18 May 2021
Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form
  Correlated Equilibrium
Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated EquilibriumJournal of the ACM (JACM), 2021
Gabriele Farina
A. Celli
A. Marchesi
N. Gatti
188
35
0
04 Apr 2021
Bandit Linear Optimization for Sequential Decision Making and
  Extensive-Form Games
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form GamesAAAI Conference on Artificial Intelligence (AAAI), 2021
Gabriele Farina
Robin Schmucker
Tuomas Sandholm
276
22
0
08 Mar 2021
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