Finbarr Timbers

Mastering the game of Stratego with model-free multiagent reinforcement learning

Julien Pérolat, Bart De Vylder, Daniel Hennes et al. · Science · 2022 · 150 citations

Computing, Autonomous Systems, Computer Science +15

OpenSpiel: A Framework for Reinforcement Learning in Games

Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau et al. · arXiv (Cornell University) · 2019 · 107 citations · Full text

Computing, Computer Science, Algorithms +16

Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent

Edward Lockhart, Marc Lanctot, Julien Pérolat et al. · 2019 · 18 citations · Full text

Social Sciences, Computer Science, Algorithms +16

Reward-respecting subtasks for model-based reinforcement learning

Richard S. Sutton, Marlos C. Machado, Gerhard Holland et al. · Artificial Intelligence · 2023 · 16 citations · Full text

Computing, Computer Science, Artificial Intelligence +14

Approximate Exploitability: Learning a Best Response

Finbarr Timbers, Nolan Bard, Edward Lockhart et al. · Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence · 2022 · 11 citations · Full text

Computing, Computer Science, Artificial Intelligence +13