Michael Bowling

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Manuela M. VelosoHerbert A. Simon University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Neil BurchDeepMind & Alberta Machine Intelligence Institute, University of AlbertaVerified email at ualberta.ca
Michael Bradley JohansonDeepMindVerified email at google.com
Marc LanctotResearch Scientist, Google DeepMindVerified email at google.com
Joel VenessGoogle DeepMindVerified email at google.com
Marc G. BellemareGoogle BrainVerified email at google.com
Nolan BardUniversity of AlbertaVerified email at ualberta.ca
Kevin WaughCarnegie Mellon UniversityVerified email at cs.cmu.edu
Martin SchmidGoogle DeepMindVerified email at kam.mff.cuni.cz
Dustin MorrillComputing Science Graduate Student, University of AlbertaVerified email at ualberta.ca
Viliam LisýCzech Technical University in PragueVerified email at fel.cvut.cz
Marlos C. MachadoDeepMind, Amii, and University of AlbertaVerified email at google.com
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
Daniel LizotteAssistant Professor of Computer Science, University of Western OntarioVerified email at uwo.ca
Brett BrowningNREC, RI, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Erin J. TalvitieAssociate Professor of Computer Science, Harvey Mudd CollegeVerified email at cs.hmc.edu
Trevor DavisPhD student, University of AlbertaVerified email at ualberta.ca
Duane SzafronProfessor of Computing Science, University of AlbertaVerified email at ualberta.ca
James R BruceGoogle ResearchVerified email at google.com
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu

Michael Bowling

University of Alberta / DeepMind

Verified email at ualberta.ca - Homepage

Artificial Intelligence Machine Learning Game Theory Reinforcement Learning Computer Games


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The arcade learning environment: An evaluation platform for general agents MG Bellemare, Y Naddaf, J Veness, M Bowling Journal of Artificial Intelligence Research 47, 253-279, 2013	2104	2013
Multiagent learning using a variable learning rate M Bowling, M Veloso Artificial Intelligence 136 (2), 215-250, 2002	912	2002
Deepstack: Expert-level artificial intelligence in heads-up no-limit poker M Moravcík, M Schmid, N Burch, V Lisy, D Morrill, N Bard, T Davis, ... Science 356 (6337), 508-513, 2017	642	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	596	2008
Rational and convergent learning in stochastic games M Bowling, M Veloso International Joint Conference on Artificial Intelligence 17 (1), 1021-1026, 2001	412	2001
Heads-up limit hold’em poker is solved M Bowling, N Burch, M Johanson, O Tammelin Science 347 (6218), 145-149, 2015	409	2015
Convergence and no-regret in multiagent learning M Bowling Advances in neural information processing systems, 209-216, 2005	316	2005
Revisiting the arcade learning environment: Evaluation protocols and open problems for general agents MC Machado, MG Bellemare, E Talvitie, J Veness, M Hausknecht, ... Journal of Artificial Intelligence Research 61, 523-562, 2018	310	2018
Automatic gait optimization with gaussian process regression D Lizotte, T Wang, M Bowling, D Schuurmans Proc. of IJCAI, 944-949, 2007	297	2007
Monte Carlo sampling for regret minimization in extensive games M Lanctot, K Waugh, M Zinkevich, M Bowling Advances in Neural Information Processing Systems 22, 1078-1086, 2009	242	2009
Apprenticeship learning using linear programming U Syed, M Bowling, RE Schapire Proceedings of the 25th international conference on Machine learning, 1032-1039, 2008	225	2008
Bayes’ bluff: Opponent modelling in poker F Southey, M Bowling, B Larson, C Piccione, N Burch, D Billings, ... Proceedings of the 21st Annual Conference on Uncertainty in Artificial …, 2005	222*	2005
STP: Skills, tactics, and plays for multi-robot control in adversarial environments B Browning, J Bruce, M Bowling, M Veloso Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2005	218	2005
Dyna-style planning with linear function approximation and prioritized sweeping RS Sutton, C Szepesvári, A Geramifard, MP Bowling arXiv preprint arXiv:1206.3285, 2012	177	2012
An analysis of stochastic game theory for multiagent reinforcement learning M Bowling, M Veloso Carnegie-Mellon Univ Pittsburgh Pa School of Computer Science, 2000	171	2000
A laplacian framework for option discovery in reinforcement learning MC Machado, MG Bellemare, M Bowling arXiv preprint arXiv:1703.00956, 2017	161	2017
Bayesian sparse sampling for on-line reward optimization T Wang, D Lizotte, M Bowling, D Schuurmans Proceedings of the 22nd international conference on Machine learning, 956-963, 2005	135	2005
Solving heads-up limit Texas Hold'em O Tammelin, N Burch, M Johanson, M Bowling Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015	127	2015
Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection. MH Bowling, B Browning, MM Veloso ICAPS, 376-383, 2004	124	2004
The Hanabi challenge: A new frontier for AI research N Bard, JN Foerster, S Chandar, N Burch, M Lanctot, HF Song, E Parisotto, ... Artificial Intelligence 280, 103216, 2020	121	2020

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