Michael Bowling
Title
Cited by
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
14792013
Multiagent learning using a variable learning rate
M Bowling, M Veloso
Artificial Intelligence 136 (2), 215-250, 2002
8292002
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
4892008
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
4432017
Rational and convergent learning in stochastic games
M Bowling, M Veloso
International Joint Conference on Artificial Intelligence 17 (1), 1021-1026, 2001
3652001
Heads-up limit hold’em poker is solved
M Bowling, N Burch, M Johanson, O Tammelin
Science 347 (6218), 145-149, 2015
3312015
Convergence and no-regret in multiagent learning
M Bowling
Advances in neural information processing systems, 209-216, 2005
2822005
Automatic gait optimization with gaussian process regression
D Lizotte, T Wang, M Bowling, D Schuurmans
Proc. of IJCAI, 944-949, 2007
2522007
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
2032005
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
1992018
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
1952009
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
192*2005
Apprenticeship learning using linear programming
U Syed, M Bowling, RE Schapire
Proceedings of the 25th international conference on Machine learning, 1032-1039, 2008
1792008
An analysis of stochastic game theory for multiagent reinforcement learning
M Bowling, M Veloso
Carnegie-Mellon Univ Pittsburgh Pa School of Computer Science, 2000
1512000
Dyna-style planning with linear function approximation and prioritized sweeping
RS Sutton, C Szepesvári, A Geramifard, MP Bowling
arXiv preprint arXiv:1206.3285, 2012
1472012
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
1282005
Plays as Effective Multiagent Plans Enabling Opponent-Adaptive Play Selection.
MH Bowling, B Browning, MM Veloso
ICAPS, 376-383, 2004
1252004
A laplacian framework for option discovery in reinforcement learning
MC Machado, MG Bellemare, M Bowling
arXiv preprint arXiv:1703.00956, 2017
1172017
Game-tree search with adaptation in stochastic imperfect-information games
D Billings, A Davidson, T Schauenberg, N Burch, M Bowling, R Holte, ...
International Conference on Computers and Games, 21-34, 2004
1062004
Convergence problems of general-sum multiagent reinforcement learning
M Bowling
International Conference on Machine Learning, 89-94, 2000
1052000
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Articles 1–20