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D2CFR: Minimize Counterfactual Regret with Deep Dueling Neural Network

D2CFR: Minimize Counterfactual Regret with Deep Dueling Neural Network

26 May 2021
Huale Li
Xuan Wang
Zengyue Guo
Jia-jia Zhang
Shuhan Qi
ArXivPDFHTML

Papers citing "D2CFR: Minimize Counterfactual Regret with Deep Dueling Neural Network"

6 / 6 papers shown
Title
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
Deheng Ye
Zhao Liu
Mingfei Sun
Bei Shi
P. Zhao
...
Tengfei Shi
Liang Wang
Qiang Fu
Wei Yang
Lanxiao Huang
43
315
0
20 Dec 2019
An Introduction to Deep Reinforcement Learning
An Introduction to Deep Reinforcement Learning
Vincent François-Lavet
Peter Henderson
Riashat Islam
Marc G. Bellemare
Joelle Pineau
OffRL
AI4CE
109
1,242
0
30 Nov 2018
Deep Counterfactual Regret Minimization
Deep Counterfactual Regret Minimization
Noam Brown
Adam Lerer
Sam Gross
Tuomas Sandholm
53
214
0
01 Nov 2018
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
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
93
905
0
06 Jan 2017
Deep Reinforcement Learning from Self-Play in Imperfect-Information
  Games
Deep Reinforcement Learning from Self-Play in Imperfect-Information Games
Johannes Heinrich
David Silver
SSL
36
397
0
03 Mar 2016
Bayes' Bluff: Opponent Modelling in Poker
Bayes' Bluff: Opponent Modelling in Poker
F. Southey
Michael Bowling
Bryce Larson
Carmelo Piccione
Neil Burch
Darse Billings
D. C. Rayner
104
260
0
04 Jul 2012
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