Michael Bowling
TitleCited byYear
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
10122013
Multiagent learning using a variable learning rate
M Bowling, M Veloso
Artificial Intelligence 136 (2), 215-250, 2002
7682002
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
3912008
Rational and convergent learning in stochastic games
M Bowling, M Veloso
International Joint Conference on Artificial Intelligence 17 (1), 1021-1026, 2001
3252001
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
2932017
Heads-up limit hold’em poker is solved
M Bowling, N Burch, M Johanson, O Tammelin
Science 347 (6218), 145-149, 2015
2582015
Convergence and no-regret in multiagent learning
M Bowling
Advances in neural information processing systems, 209-216, 2005
2522005
Automatic gait optimization with gaussian process regression
D Lizotte, T Wang, M Bowling, D Schuurmans
Proc. of IJCAI, 944-949, 2007
2092007
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
1872005
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
1512009
Apprenticeship learning using linear programming
U Syed, M Bowling, RE Schapire
Proceedings of the 25th international conference on Machine learning, 1032-1039, 2008
1382008
An analysis of stochastic game theory for multiagent reinforcement learning
M Bowling, M Veloso
CARNEGIE-MELLON UNIV PITTSBURGH PA SCHOOL OF COMPUTER SCIENCE, 2000
1282000
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
1212005
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
1152004
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
1112018
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
1002006
Convergence problems of general-sum multiagent reinforcement learning
M Bowling
International Conference on Machine Learning, 89-94, 2000
962000
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
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Articles 1–20