Michael Bowling

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Neil BurchSony AI & Alberta Machine Intelligence Institute, University of AlbertaPatvirtintas el. paštas ualberta.ca
Manuela M. VelosoHerbert A. Simon University Professor of Computer Science, Carnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Michael Bradley JohansonArtificial.AgencyPatvirtintas el. paštas artificial.agency
Marc LanctotResearch Scientist, Google DeepMindPatvirtintas el. paštas google.com
Nolan BardSenior Research Scientist, Sony AIPatvirtintas el. paštas ualberta.ca
Joel VenessGoogle DeepMindPatvirtintas el. paštas google.com
Marc G. BellemareReliant AIPatvirtintas el. paštas reliant.ai
Martin SchmidGoogle DeepMindPatvirtintas el. paštas kam.mff.cuni.cz
Kevin WaughCarnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Dustin MorrillSony AIPatvirtintas el. paštas sony.com
Marlos C. MachadoUniversity of Alberta; AmiiPatvirtintas el. paštas ualberta.ca
Viliam LisýCzech Technical University in Prague & DelagAItePatvirtintas el. paštas fel.cvut.cz
Erin J. TalvitieAssociate Professor of Computer Science, Harvey Mudd CollegePatvirtintas el. paštas cs.hmc.edu
Dale SchuurmansUniversity of Alberta, Google DeepMindPatvirtintas el. paštas cs.ualberta.ca
Daniel LizotteAssociate Professor of Computer Science; Associate Professor of Epidemiology and BiostatisticsPatvirtintas el. paštas uwo.ca
Trevor DavisPhD student, University of AlbertaPatvirtintas el. paštas ualberta.ca
Brett BrowningNREC, RI, Carnegie Mellon UniversityPatvirtintas el. paštas cs.cmu.edu
Duane SzafronProfessor of Computing Science, University of AlbertaPatvirtintas el. paštas ualberta.ca
Richard S. SuttonKeen, Amii, and University of AlbertaPatvirtintas el. paštas richsutton.com
James R BruceThird Wave Automation IncPatvirtintas el. paštas thirdwave.ai

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Michael Bowling

Amii, University of Alberta

Patvirtintas el. paštas ualberta.ca - Pagrindinis puslapis

Artificial Intelligence Machine Learning Game Theory Reinforcement Learning Computer Games


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	3611	2013
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	1211	2017
Multiagent learning using a variable learning rate M Bowling, M Veloso Artificial Intelligence 136 (2), 215-250, 2002	1075	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	995	2008
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	629	2018
Heads-up limit hold’em poker is solved M Bowling, N Burch, M Johanson, O Tammelin Science 347 (6218), 145-149, 2015	597	2015
Rational and convergent learning in stochastic games M Bowling, M Veloso International Joint Conference on Artificial Intelligence 17 (1), 1021-1026, 2001	488	2001
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	417	2020
Automatic gait optimization with gaussian process regression D Lizotte, T Wang, M Bowling, D Schuurmans Proc. of IJCAI, 944-949, 2007	403	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	381	2009
Convergence and no-regret in multiagent learning M Bowling Advances in neural information processing systems, 209-216, 2005	371	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	331*	2005
Apprenticeship learning using linear programming U Syed, M Bowling, RE Schapire Proceedings of the 25th international conference on Machine learning, 1032-1039, 2008	320	2008
A laplacian framework for option discovery in reinforcement learning MC Machado, MG Bellemare, M Bowling International Conference on Machine Learning, 2295-2304, 2017	309	2017
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	243	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	233	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	214	2000
Count-based exploration with the successor representation MC Machado, MG Bellemare, M Bowling Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5125-5133, 2020	200	2020
Solving heads-up limit Texas Hold'em O Tammelin, N Burch, M Johanson, M Bowling Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015	197	2015
Generalization and Regularization in DQN J Farebrother, MC Machado, M Bowling arXiv preprint arXiv:1810.00123, 2018	190	2018

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