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Michael Bowling, Ph.D. - Publications

Affiliations: 
2003 Carnegie Mellon University, Pittsburgh, PA 
Area:
Computer Science, Robotics
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25 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Schmid M, Moravčík M, Burch N, Kadlec R, Davidson J, Waugh K, Bard N, Timbers F, Lanctot M, Holland GZ, Davoodi E, Christianson A, Bowling M. Student of Games: A unified learning algorithm for both perfect and imperfect information games. Science Advances. 9: eadg3256. PMID 37967182 DOI: 10.1126/sciadv.adg3256  0.358
2020 Bard N, Foerster JN, Chandar S, Burch N, Lanctot M, Song HF, Parisotto E, Dumoulin V, Moitra S, Hughes E, Dunning I, Mourad S, Larochelle H, Bellemare MG, Bowling M. The Hanabi Challenge: A New Frontier for AI Research Artificial Intelligence. 280: 103216. DOI: 10.1016/J.Artint.2019.103216  0.452
2018 Machado MC, Bellemare MG, Talvitie E, Veness J, Hausknecht MJ, Bowling M. Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Journal of Artificial Intelligence Research. 61: 523-562. DOI: 10.1613/Jair.5699  0.405
2017 Moravčík M, Schmid M, Burch N, Lisý V, Morrill D, Bard N, Davis T, Waugh K, Johanson M, Bowling M. DeepStack: Expert-level artificial intelligence in heads-up no-limit poker. Science (New York, N.Y.). PMID 28254783 DOI: 10.1126/science.aam6960  0.362
2017 Bowling M, Burch N, Johanson M, Tammelin O. Heads-up limit hold'em poker is solved Communications of the Acm. 60: 81-88. DOI: 10.1145/3131284  0.41
2015 Bowling M, Burch N, Johanson M, Tammelin O. Computer science. Heads-up limit hold'em poker is solved. Science (New York, N.Y.). 347: 145-9. PMID 25574016 DOI: 10.1126/Science.1259433  0.395
2015 Bellemare MG, Naddaf Y, Veness J, Bowling M. The arcade learning environment: An evaluation platform for general agents Ijcai International Joint Conference On Artificial Intelligence. 2015: 4148-4152. DOI: 10.1613/Jair.3912  0.431
2015 Waugh K, Morrill D, Bagnell JA, Bowling M. Solving games with functional regret estimation Proceedings of the National Conference On Artificial Intelligence. 3: 2138-2144.  0.313
2014 MacKay TL, Bard N, Bowling M, Hodgins DC. Do pokers players know how good they are? Accuracy of poker skill estimation in online and offline players Computers in Human Behavior. 31: 419-424. DOI: 10.1016/J.Chb.2013.11.006  0.35
2014 Davis T, Burch N, Bowling M. Using response functions to measure strategy strength Proceedings of the National Conference On Artificial Intelligence. 1: 630-636.  0.325
2013 Afkanpour A, Szepesvári C, Bowling M. Alignment based kernel learning with a continuous set of base kernels Machine Learning. 91: 305-324. DOI: 10.1007/S10994-013-5361-8  0.355
2013 Davidson J, Archibald C, Bowling M. The baseline approach to agent evaluation Aaai Workshop - Technical Report. 2-5.  0.307
2012 Lanctot M, Gibson R, Burch N, Zinkevich M, Bowling M. No-regret learning in extensive-form games with imperfect recall Proceedings of the 29th International Conference On Machine Learning, Icml 2012. 1: 65-72.  0.327
2012 Bellemare MG, Veness J, Bowling M. Investigating contingency awareness using Atari 2600 games Proceedings of the National Conference On Artificial Intelligence. 2: 864-871.  0.389
2011 Zinkevich MA, Bowling M, Wunder M. The lemonade stand game competition Acm Sigecom Exchanges. 10: 35-38. DOI: 10.1145/1978721.1978730  0.352
2009 Waugh K, Bard N, Bowling M. Strategy grafting in extensive games Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 2026-2034.  0.318
2009 Waugh K, Schnizlein D, Bowling M, Szafron D. Abstraction pathologies in extensive games Proceedings of the International Joint Conference On Autonomous Agents and Multiagent Systems, Aamas. 2: 870-877.  0.358
2009 White M, Bowling M. Learning a value analysis tool for agent evaluation Ijcai International Joint Conference On Artificial Intelligence. 1976-1981.  0.314
2008 Cutumisu M, Szafron D, Bowling M, Sutton RS. Agent learning using action-dependent learning rates in computer role-playing games Proceedings of the 4th Artificial Intelligence and Interactive Digital Entertainment Conference, Aiide 2008. 22-29.  0.339
2007 Zinkevich M, Bowling M, Burch N. A new algorithm for generating equilibria in massive zero-sum games Proceedings of the National Conference On Artificial Intelligence. 1: 788-793.  0.329
2006 Bowling M, Fürnkranz J, Graepel T, Musick R. Machine learning and games Machine Learning. 63: 211-215. DOI: 10.1007/S10994-006-8919-X  0.412
2004 Bowling M, Veloso M. Existence of Multiagent Equilibria with Limited Agents Journal of Artificial Intelligence Research. 22: 353-384. DOI: 10.1613/Jair.1332  0.55
2002 Kaminka GA, Bowling M. Towards robust teams with many agents Proceedings of the International Conference On Autonomous Agents. 729-736.  0.519
1999 Veloso MM, Stone P, Bowling M. Anticipation as a Key for Collaboration in a Team of Agents: A Case Study in Robotic Soccer Proceedings of Spie. 3839: 134-141. DOI: 10.1117/12.360333  0.515
1998 Veloso M, Bowling M, Stone P. The CMUnited-98 champion small-robot team Advanced Robotics. 13: 753-766. DOI: 10.1163/156855300X00089  0.436
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