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1901.07621
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Single Deep Counterfactual Regret Minimization
22 January 2019
Eric Steinberger
BDL
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Papers citing
"Single Deep Counterfactual Regret Minimization"
25 / 25 papers shown
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
SyDa
SSL
OnRL
707
29
0
02 Aug 2024
A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence
International Conference on Learning Representations (ICLR), 2024
Mingyang Liu
Gabriele Farina
Asuman Ozdaglar
418
3
0
01 Aug 2024
DanZero+: Dominating the GuanDan Game through Reinforcement Learning
IEEE Transactions on Games (IEEE Trans. Games), 2023
Youpeng Zhao
Yudong Lu
Jian Zhao
Wen-gang Zhou
Houqiang Li
301
6
0
05 Dec 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations
Yongyuan Liang
Yanchao Sun
Ruijie Zheng
Xiangyu Liu
Benjamin Eysenbach
Tuomas Sandholm
Furong Huang
Alexander Shmakov
OOD
254
0
0
22 Jul 2023
Hierarchical Deep Counterfactual Regret Minimization
Jiayu Chen
Tian-Shing Lan
Vaneet Aggarwal
382
4
0
27 May 2023
DanZero: Mastering GuanDan Game with Reinforcement Learning
Yudong Lu
Jian Zhao
Youpeng Zhao
Wen-gang Zhou
Houqiang Li
164
10
0
31 Oct 2022
Supervised and Reinforcement Learning from Observations in Reconnaissance Blind Chess
T. Bertram
Johannes Furnkranz
Martin Müller
SSL
OnRL
299
8
0
03 Aug 2022
A Survey of Decision Making in Adversarial Games
Science China Information Sciences (Sci. China Inf. Sci.), 2022
Xiuxian Li
Min Meng
Yiguang Hong
Jie-bin Chen
AAML
335
24
0
16 Jul 2022
Offline Equilibrium Finding
Shuxin Li
Xinrun Wang
Youzhi Zhang
Jakub Cerny
Pengdeng Li
Hau Chan
Bo An
OffRL
348
3
0
12 Jul 2022
The Power of Regularization in Solving Extensive-Form Games
International Conference on Learning Representations (ICLR), 2022
Ming-Yuan Liu
Asuman Ozdaglar
Tiancheng Yu
Jianchao Tan
380
27
0
19 Jun 2022
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret
International Conference on Learning Representations (ICLR), 2022
Alexander Shmakov
Gabriele Farina
Marc Lanctot
Tuomas Sandholm
438
31
0
08 Jun 2022
D2CFR: Minimize Counterfactual Regret with Deep Dueling Neural Network
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Huale Li
Xuan Wang
Zengyue Guo
Jia-jia Zhang
Shuhan Qi
195
1
0
26 May 2021
CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Shuxin Li
Youzhi Zhang
Xinrun Wang
Wanqi Xue
Bo An
139
9
0
18 May 2021
XDO: A Double Oracle Algorithm for Extensive-Form Games
Neural Information Processing Systems (NeurIPS), 2021
Alexander Shmakov
John Lanier
Kevin A. Wang
Pierre Baldi
Roy Fox
221
58
0
11 Mar 2021
Multi-agent Reinforcement Learning in OpenSpiel: A Reproduction Report
Michael Walton
Viliam Lisý
180
7
0
27 Feb 2021
Model-free Neural Counterfactual Regret Minimization with Bootstrap Learning
IEEE Transactions on Games (IEEE Trans. Games), 2020
Weiming Liu
Bin Li
Julian Togelius
412
10
0
03 Dec 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
163
6
0
10 Sep 2020
Unlocking the Potential of Deep Counterfactual Value Networks
Ryan Zarick
Bryan Pellegrino
Noam Brown
Caleb Banister
OffRL
134
19
0
20 Jul 2020
DREAM: Deep Regret minimization with Advantage baselines and Model-free learning
Eric Steinberger
Adam Lerer
Noam Brown
333
59
0
18 Jun 2020
Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory
Yunlong Lu
Kai Yan
AI4CE
373
14
0
17 Jan 2020
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of
f
f
f
-Regression Counterfactual Regret Minimization
Adaptive Agents and Multi-Agent Systems (AAMAS), 2019
Ryan DÓrazio
Dustin Morrill
J. R. Wright
Michael Bowling
338
11
0
06 Dec 2019
Bounds for Approximate Regret-Matching Algorithms
Scott Fujimoto
Dustin Morrill
J. R. Wright
146
3
0
03 Oct 2019
Double Neural Counterfactual Regret Minimization
Hui Li
Kailiang Hu
Zhibang Ge
Tao Jiang
Yuan Qi
Le Song
144
54
0
27 Dec 2018
Deep Counterfactual Regret Minimization
Noam Brown
Adam Lerer
Sam Gross
Tuomas Sandholm
684
235
0
01 Nov 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
661
980
0
06 Jan 2017
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