Language Models can Solve Computer Tasks
Geunwoo Kim, Pierre Baldi, Stephen McAleer
ArXiv 2023
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ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret
Stephen McAleer, Gabriele Farina, Marc Lanctot, Tuomas Sandholm
International Conference on Learning Representations (ICLR) 2023
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Mastering the Game of Stratego With Model-Free Multiagent Reinforcement Learning
Julien Perolat*, Bart de Vylder*, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T Connor, Neil Burch, Thomas Anthony, Stephen McAleer, Romuald Elie, Sarah H Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Remi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls*
Science 2022
Paper

XDO: A Double Oracle Algorithm for Extensive-Form Games
Stephen McAleer, John Lanier, Kevin A Wang, Pierre Baldi, Roy Fox
Conference on Neural Information Processing Systems (NeurIPS) 2021
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Pipeline PSRO: A Scalable Approach for Finding Approximate Nash Equilibria in Large Games
Stephen McAleer*, John Lanier*, Roy Fox, Pierre Baldi
Conference on Neural Information Processing Systems (NeurIPS) 2020
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Solving the Rubik's Cube With Approximate Policy Iteration
Stephen McAleer*, Forest Agostinelli*, Alexander Shmakov*, Pierre Baldi
International Conference on Learning Representations (ICLR) 2018
Paper