no code implementations • NeurIPS 2009 • Kevin Waugh, Nolan Bard, Michael Bowling
A common approach for computing strategies in these large games is to first employ an abstraction technique to reduce the original game to an abstract game that is of a manageable size.
no code implementations • 20 Apr 2020 • Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling
In prior games research, agent evaluation often focused on the in-practice game outcomes.
no code implementations • 28 Nov 2020 • Edward Lockhart, Neil Burch, Nolan Bard, Sebastian Borgeaud, Tom Eccles, Lucas Smaira, Ray Smith
We introduce a human-compatible reinforcement-learning approach to a cooperative game, making use of a third-party hand-coded human-compatible bot to generate initial training data and to perform initial evaluation.
no code implementations • 6 Dec 2021 • Martin Schmid, Matej Moravcik, Neil Burch, Rudolf Kadlec, Josh Davidson, Kevin Waugh, Nolan Bard, Finbarr Timbers, Marc Lanctot, G. Zacharias Holland, Elnaz Davoodi, Alden Christianson, Michael Bowling
Games have a long history as benchmarks for progress in artificial intelligence.
1 code implementation • 1 Feb 2019 • Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling
From the early days of computing, games have been important testbeds for studying how well machines can do sophisticated decision making.
1 code implementation • 6 Jan 2017 • Matej Moravčík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael Bowling
Poker is the quintessential game of imperfect information, and a longstanding challenge problem in artificial intelligence.