Deepstack: Expert-level artificial intelligence in heads-up no-limit poker M Moravčík, M Schmid, N Burch, V Lisý, D Morrill, N Bard, T Davis, ... Science 356 (6337), 508-513, 2017 | 1196 | 2017 |
Regret minimization in games with incomplete information M Zinkevich, M Johanson, M Bowling, C Piccione Advances in Neural Information Processing Systems 20, 1729-1736, 2008 | 984 | 2008 |
Heads-up limit hold’em poker is solved M Bowling, N Burch, M Johanson, O Tammelin Science 347 (6218), 145-149, 2015 | 587 | 2015 |
Solving heads-up limit texas hold'em O Tammelin, N Burch, M Johanson, M Bowling Twenty-fourth international joint conference on artificial intelligence, 2015 | 193 | 2015 |
Accelerating Best Response Calculation in Large Extensive Games M Johanson, K Waugh, M Zinkevich, M Bowling Twenty-Second International Joint Conference on Artificial Intelligence, 2011 | 136 | 2011 |
Solving Imperfect Information Games Using Decomposition N Burch, M Johanson, M Bowling Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence …, 2014 | 115 | 2014 |
Computing robust counter-strategies M Johanson, M Zinkevich, M Bowling Advances in neural information processing systems 20, 721-728, 2007 | 115 | 2007 |
Robust Strategies and Counter-Strategies: Building a Champion Level Computer Poker Program MB Johanson University of Alberta, 2007 | 112* | 2007 |
Efficient Nash Equilibrium Approximation through Monte Carlo Counterfactual Regret Minimization M Johanson, N Bard, M Lanctot, R Gibson, M Bowling AAMAS 2012, 2012 | 109 | 2012 |
Measuring the Size of Large No-Limit Poker Games M Johanson arXiv preprint arXiv:1302.7008, 2013 | 105 | 2013 |
Finding Optimal Abstract Strategies in Extensive-Form Games M Johanson, N Bard, N Burch, M Bowling AAAI 2012, 1371-1379, 2012 | 103 | 2012 |
Evaluating State-Space Abstractions in Extensive-Form Games M Johanson, N Burch, R Valenzano, M Bowling AAMAS 2013, 2013 | 99 | 2013 |
A Practical Use of Imperfect Recall. K Waugh, M Zinkevich, M Johanson, M Kan, D Schnizlein, MH Bowling SARA, 2009 | 87 | 2009 |
Online Implicit Agent Modelling N Bard, M Johanson, N Burch, M Bowling AAMAS 2013, 2013 | 84 | 2013 |
Data biased robust counter strategies M Johanson, M Bowling Artificial Intelligence and Statistics, 264-271, 2009 | 80 | 2009 |
Heads-up limit hold'em poker is solved M Bowling, N Burch, M Johanson, O Tammelin Communications of the ACM 60 (11), 81-88, 2017 | 55 | 2017 |
Solving 7×7 Hex: Virtual connections and game-state reduction RB Hayward, Y Björnsson, M Johanson, M Kan, N Po, J van Rijswijck Advances in Computer Games 263, 261-278, 2004 | 42 | 2004 |
Strategy evaluation in extensive games with importance sampling M Bowling, M Johanson, N Burch, D Szafron Proceedings of the 25th international conference on Machine learning, 72-79, 2008 | 36 | 2008 |
Dead cell analysis in Hex and the Shannon game Y Björnsson, R Hayward, M Johanson, J van Rijswijck Graph Theory in Paris: Proceedings of a Conference in Memory of Claude Berge …, 2007 | 36 | 2007 |
Negotiating team formation using deep reinforcement learning Y Bachrach, R Everett, E Hughes, A Lazaridou, JZ Leibo, M Lanctot, ... Artificial Intelligence 288, 103356, 2020 | 35 | 2020 |