Michael Bowling - Google Scholar Citations

Cited by

	All	Since 2014
Citations	8358	4851
h-index	50	33
i10-index	101	77

1300

650

325

975

2000200120022003200420052006200720082009201020112012201320142015201620172018201923 51 70 114 134 242 256 294 333 321 340 359 364 458 497 643 687 813 1222 968

Co-authors

Manuela M. VelosoHerbert A. Simon University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Michael Bradley JohansonGoogle DeepMind, University of AlbertaVerified email at google.com
Neil BurchResearch scientist, DeepMindVerified email at ualberta.ca
Joel VenessGoogle DeepMindVerified email at google.com
Nolan BardUniversity of AlbertaVerified email at ualberta.ca
Kevin WaughCarnegie Mellon UniversityVerified email at cs.cmu.edu
Marc G. BellemareGoogle BrainVerified email at google.com
Brett BrowningNREC, RI, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Marc LanctotResearch Scientist, Google DeepMindVerified 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
Viliam LisýCzech Technical University in PragueVerified email at fel.cvut.cz
Marlos C. MachadoResearch Scientist, Google BrainVerified email at google.com
Duane SzafronProfessor of Computing Science, University of AlbertaVerified email at ualberta.ca
Peter StoneProfessor of Computer Science, The University of Texas at AustinVerified email at cs.utexas.edu
Erin J. TalvitieAssociate Professor of Computer Science, Franklin and Marshall CollegeVerified email at fandm.edu
James R BruceGoogle ResearchVerified email at google.com
Martin SchmidCharles University in PragueVerified email at kam.mff.cuni.cz
Csaba SzepesvariDeepMind & Department of Computing Science, University of AlbertaVerified email at cs.ualberta.ca
Alborz GeramifardResearch Manager at FacebookVerified email at fb.com

Michael Bowling

University of Alberta / DeepMind

Verified email at ualberta.ca - Homepage

Artificial Intelligence Machine Learning Game Theory Reinforcement Learning Computer Games


Title	Cited by	Year
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	1012	2013
Multiagent learning using a variable learning rate M Bowling, M Veloso Artificial Intelligence 136 (2), 215-250, 2002	768	2002
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	391	2008
Rational and convergent learning in stochastic games M Bowling, M Veloso International Joint Conference on Artificial Intelligence 17 (1), 1021-1026, 2001	325	2001
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	293	2017
Heads-up limit hold’em poker is solved M Bowling, N Burch, M Johanson, O Tammelin Science 347 (6218), 145-149, 2015	258	2015
Convergence and no-regret in multiagent learning M Bowling Advances in neural information processing systems, 209-216, 2005	252	2005
Automatic gait optimization with gaussian process regression D Lizotte, T Wang, M Bowling, D Schuurmans Proc. of IJCAI, 944-949, 2007	209	2007
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	187	2005
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	173*	2005
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	151	2009
Apprenticeship learning using linear programming U Syed, M Bowling, RE Schapire Proceedings of the 25th international conference on Machine learning, 1032-1039, 2008	138	2008
An analysis of stochastic game theory for multiagent reinforcement learning M Bowling, M Veloso CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2000	128	2000
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	121	2005
Plays as effective multiagent plans enabling opponent-adaptive play selection M Bowling, B Browning, M Veloso Proceedings of International Conference on Automated Planning and Scheduling …, 2004	115	2004
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	111	2018
Dyna-style planning with linear function approximation and prioritized sweeping RS Sutton, C Szepesvári, A Geramiford, M Bowling Computing, 528-536, 2008	111*	2008
Game-tree search with adaptation in stochastic imperfect-information games D Billings, A Davidson, T Schauenberg, N Burch, M Bowling, R Holte, ... Computers and Games, 21-34, 2006	100	2006
Convergence problems of general-sum multiagent reinforcement learning M Bowling International Conference on Machine Learning, 89-94, 2000	96	2000
Anticipation: A key for collaboration in a team of agents M Veloso, P Stone, M Bowling Submitted to the 3rd International Conference on Autonomous Agents, 1-16, 1998	90*	1998

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors