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Solving Imperfect-Information Games via Discounted Regret Minimization
11 September 2018
Noam Brown
Tuomas Sandholm
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Papers citing
"Solving Imperfect-Information Games via Discounted Regret Minimization"
27 / 77 papers shown
Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games
AAAI Conference on Artificial Intelligence (AAAI), 2021
Gabriele Farina
Tuomas Sandholm
OffRL
177
22
0
08 Mar 2021
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Yulai Zhao
Yuandong Tian
Jason D. Lee
S. Du
OffRL
190
20
0
17 Feb 2021
ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement Learning
Naichen Shi
Ruichen Li
Sun Youran
197
0
0
15 Feb 2021
Human-Level Performance in No-Press Diplomacy via Equilibrium Search
International Conference on Learning Representations (ICLR), 2020
Jonathan Gray
Adam Lerer
A. Bakhtin
Noam Brown
385
57
0
06 Oct 2020
RLCFR: Minimize Counterfactual Regret by Deep Reinforcement Learning
Expert systems with applications (ESWA), 2020
Huale Li
Xinyu Wang
Fengwei Jia
Yifan Li
Yulin Wu
Jia-jia Zhang
Shuhan Qi
130
6
0
10 Sep 2020
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
203
30
0
27 Aug 2020
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent
AAAI Conference on Artificial Intelligence (AAAI), 2020
Gabriele Farina
Christian Kroer
Tuomas Sandholm
275
85
0
28 Jul 2020
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
Neural Information Processing Systems (NeurIPS), 2020
Noam Brown
A. Bakhtin
Adam Lerer
Qucheng Gong
339
158
0
27 Jul 2020
Unlocking the Potential of Deep Counterfactual Value Networks
Ryan Zarick
Bryan Pellegrino
Noam Brown
Caleb Banister
OffRL
122
18
0
20 Jul 2020
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning
Eric Steinberger
Adam Lerer
Noam Brown
307
59
0
18 Jun 2020
Sparsified Linear Programming for Zero-Sum Equilibrium Finding
B. Zhang
Tuomas Sandholm
236
10
0
05 Jun 2020
Stochastic Regret Minimization in Extensive-Form Games
International Conference on Machine Learning (ICML), 2020
Gabriele Farina
Christian Kroer
Tuomas Sandholm
220
30
0
19 Feb 2020
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory
Yunlong Lu
Kai Yan
AI4CE
298
14
0
17 Jan 2020
Improving Fictitious Play Reinforcement Learning with Expanding Models
Rongjun Qin
Jing-Cheng Pang
Yang Yu
178
2
0
27 Nov 2019
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
Neural Information Processing Systems (NeurIPS), 2019
Gabriele Farina
Chun Kai Ling
Fei Fang
Tuomas Sandholm
159
16
0
28 Oct 2019
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions
Neural Information Processing Systems (NeurIPS), 2019
Gabriele Farina
Christian Kroer
Tuomas Sandholm
146
48
0
24 Oct 2019
Combining No-regret and Q-learning
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
Ian A. Kash
Michael Sullins
Katja Hofmann
OffRL
303
17
0
07 Oct 2019
Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass
Swiss Conference on Data Science (SDS), 2019
Joel Niklaus
Michele Alberti
Vinaychandran Pondenkandath
Rolf Ingold
Marcus Liwicki
132
8
0
11 Jun 2019
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks
Neural Information Processing Systems (NeurIPS), 2019
Gabriele Farina
Chun Kai Ling
Fei Fang
Tuomas Sandholm
241
43
0
29 May 2019
Solving zero-sum extensive-form games with arbitrary payoff uncertainty models
Juan Leni
J. Levine
J. Quigley
73
0
0
24 Apr 2019
Increasing Iterate Averaging for Solving Saddle-Point Problems
Yuan Gao
Christian Kroer
Donald Goldfarb
194
6
0
26 Mar 2019
Stable-Predictive Optimistic Counterfactual Regret Minimization
International Conference on Machine Learning (ICML), 2019
Gabriele Farina
Christian Kroer
Noam Brown
Tuomas Sandholm
168
36
0
13 Feb 2019
Single Deep Counterfactual Regret Minimization
Eric Steinberger
BDL
205
41
0
22 Jan 2019
Deep Counterfactual Regret Minimization
Noam Brown
Adam Lerer
Sam Gross
Tuomas Sandholm
588
231
0
01 Nov 2018
Lazy-CFR: fast and near optimal regret minimization for extensive games with imperfect information
Yichi Zhou
Zhaolin Ren
J. Li
Dong Yan
Jun Zhu
194
15
0
10 Oct 2018
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games
Gabriele Farina
Christian Kroer
Tuomas Sandholm
178
61
0
10 Sep 2018
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Matej Moravcík
Martin Schmid
Neil Burch
Viliam Lisý
Dustin Morrill
Nolan Bard
Trevor Davis
Kevin Waugh
Michael Bradley Johanson
Michael Bowling
BDL
571
962
0
06 Jan 2017
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