Michael Bowling, Ph.D.
Affiliations: | 2003 | Carnegie Mellon University, Pittsburgh, PA |
Area:
Computer Science, RoboticsGoogle:
"Michael Bowling"Parents
Sign in to add mentor| Manuela Veloso | grad student | 2003 | Carnegie Mellon | |
| (Multiagent learning in the presence of agents with limitations.) | ||||
Children
Sign in to add trainee| Martha White | grad student | 2010-2014 | University of Alberta |
| John D Martin | post-doc | (Oceanography Tree) |
BETA: Related publications
See more...
Publications
|
You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect. |
| Schmid M, Moravčík M, Burch N, et al. (2023) Student of Games: A unified learning algorithm for both perfect and imperfect information games. Science Advances. 9: eadg3256 |
| Bard N, Foerster JN, Chandar S, et al. (2020) The Hanabi Challenge: A New Frontier for AI Research Artificial Intelligence. 280: 103216 |
| Machado MC, Bellemare MG, Talvitie E, et al. (2018) Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents Journal of Artificial Intelligence Research. 61: 523-562 |
| Moravčík M, Schmid M, Burch N, et al. (2017) DeepStack: Expert-level artificial intelligence in heads-up no-limit poker. Science (New York, N.Y.) |
| Bowling M, Burch N, Johanson M, et al. (2017) Heads-up limit hold'em poker is solved Communications of the Acm. 60: 81-88 |
| Bowling M, Burch N, Johanson M, et al. (2015) Computer science. Heads-up limit hold'em poker is solved. Science (New York, N.Y.). 347: 145-9 |
| Bellemare MG, Naddaf Y, Veness J, et al. (2015) The arcade learning environment: An evaluation platform for general agents Ijcai International Joint Conference On Artificial Intelligence. 2015: 4148-4152 |
| Waugh K, Morrill D, Bagnell JA, et al. (2015) Solving games with functional regret estimation Proceedings of the National Conference On Artificial Intelligence. 3: 2138-2144 |
| MacKay TL, Bard N, Bowling M, et al. (2014) 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 |
| Davis T, Burch N, Bowling M. (2014) Using response functions to measure strategy strength Proceedings of the National Conference On Artificial Intelligence. 1: 630-636 |