引用次数
引用: 4,393
H-指数: 22
I10-指数 : 27
出版物: 36
Emergent bartering behaviour in multi-agent reinforcement learning
Michael Bradley Johanson , Edward Hughes , Finbarr Timbers , Joel Z Leibo
arXiv preprint arXiv:2205.06760
5
2022
Assessing human interaction in virtual reality with continually learning prediction agents based on reinforcement learning algorithms: A pilot study
Dylan JA Brenneis , Adam S Parker , Michael Bradley Johanson , Andrew Butcher
arXiv preprint arXiv:2112.07774
6
2021
The Frost Hollow experiments: Pavlovian signalling as a path to coordination and communication between agents
Patrick M Pilarski , Andrew Butcher , Elnaz Davoodi , Michael Bradley Johanson
arXiv preprint arXiv:2203.09498
4
2022
Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making
Andrew Butcher , Michael Bradley Johanson , Elnaz Davoodi , Dylan JA Brenneis
Adaptive and Learning Agents (ALA) Workshop at AAMAS 2022
3
2022
Robust Strategies and Counter-Strategies: Building a Champion Level Computer Poker Program
Michael Bradley Johanson
University of Alberta ( MSc Thesis)
112
2007
Robust Strategies and Counter-Strategies: From Superhuman to Optimal Play
Michael Bradley Johanson
University of Alberta
17
2016
Strategy Generation and Evaluation in Large Two-Player Games
Michael Bradley Johanson
2011
Heads-up limit hold’em poker is solved
M. Bowling , N. Burch , M. Johanson , O. Tammelin
Science 347 ( 6218) 145 -149
504
2015
Solving 7×7 Hex: Virtual Connections and Game-State Reduction
R. Hayward , Y. Björnsson , M. Johanson , M. Kan
advances in computer games 261 -278
14
2004
Deepstack: expert-level artificial intelligence in no-limit poker. CoRR abs/1701.01724 (2017)
M Moravcık , M Schmid , N Burch , V Lisý
arXiv preprint arXiv:1701.01724
3
2017
Robust Strategies and Counter-Strategies
Mike Johanson
Building a
1
2007
DeepStack: Expert-level artificial intelligence in heads-up no-limit poker
Matej Moravčík , Martin Schmid , Neil Burch , Viliam Lisý
Science 356 ( 6337) 508 -513
921
2017
Regret minimization in games with incomplete information
Martin Zinkevich , Michael Johanson , Michael Bowling , Carmelo Piccione
Advances in Neural Information Processing Systems 20 1729 -1736
958
2008
Solving heads-up limit Texas Hold'em
Oskari Tammelin , Neil Burch , Michael Johanson , Michael Bowling
international conference on artificial intelligence 645 -652
159
2015
Accelerating best response calculation in large extensive games
Michael Johanson , Kevin Waugh , Martin Zinkevich , Michael Bowling
IJCAI 11 258 -265
133
2011
Solving Imperfect Information Games Using Decomposition
Neil Burch , Michael Johanson , Michael Bowling ,
arXiv: Computer Science and Game Theory
91
2013
Computing Robust Counter-Strategies
Michael Johanson , Martin Zinkevich , Michael Bowling ,
neural information processing systems 20 721 -728
65
2007
Efficient Nash equilibrium approximation through Monte Carlo counterfactual regret minimization
Michael Johanson , Nolan Bard , Marc Lanctot , Richard Gibson
adaptive agents and multi-agents systems 837 -846
92
2012
Measuring the Size of Large No-Limit Poker Games
Michael Johanson ,
arXiv preprint arXiv:1302.7008 ( Technical Report TR13-01)
105
2013
Evaluating State-Space Abstractions in Extensive-Form Games
Michael Johanson , Neil Burch , Richard Valenzano , Michael Bowling
AAMAS 2013
100
2013