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OpenSpiel: A Framework for Reinforcement Learning in Games.

M. Lanctot, E. Lockhart, J. Lespiau, V. Zambaldi, S. Upadhyay, J. Pérolat, S. Srinivasan, F. Timbers, K. Tuyls, S. Omidshafiei, D. Hennes, D. Morrill, P. Muller, T. Ewalds, R. Faulkner, J. Kramár, B. Vylder, B. Saeta, J. Bradbury, D. Ding, S. Borgeaud, M. Lai, J. Schrittwieser, T. Anthony, E. Hughes, I. Danihelka, and J. Ryan-Davis. CoRR, (2019)

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Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning.M. Johanson, E. Hughes, F. Timbers, and J. Leibo. CoRR, (2022)Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning.J. Pérolat, B. Vylder, D. Hennes, E. Tarassov, F. Strub, V. de Boer, P. Muller, J. Connor, N. Burch, T. Anthony and 24 other author(s). CoRR, (2022)Reward-respecting subtasks for model-based reinforcement learning.R. Sutton, M. Machado, G. Holland, D. Szepesvari, F. Timbers, B. Tanner, and A. White. Artif. Intell., (November 2023)The Advantage Regret-Matching Actor-Critic.A. Gruslys, M. Lanctot, R. Munos, F. Timbers, M. Schmid, J. Pérolat, D. Morrill, V. Zambaldi, J. Lespiau, J. Schultz and 3 other author(s). CoRR, (2020)Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent.E. Lockhart, M. Lanctot, J. Pérolat, J. Lespiau, D. Morrill, F. Timbers, and K. Tuyls. IJCAI, page 464-470. ijcai.org, (2019)Player of Games.M. Schmid, M. Moravcik, N. Burch, R. Kadlec, J. Davidson, K. Waugh, N. Bard, F. Timbers, M. Lanctot, G. Holland and 3 other author(s). CoRR, (2021)OpenSpiel: A Framework for Reinforcement Learning in Games.M. Lanctot, E. Lockhart, J. Lespiau, V. Zambaldi, S. Upadhyay, J. Pérolat, S. Srinivasan, F. Timbers, K. Tuyls, S. Omidshafiei and 17 other author(s). CoRR, (2019)Fast computation of Nash Equilibria in Imperfect Information Games.R. Munos, J. Pérolat, J. Lespiau, M. Rowland, B. Vylder, M. Lanctot, F. Timbers, D. Hennes, S. Omidshafiei, A. Gruslys and 3 other author(s). ICML, volume 119 of Proceedings of Machine Learning Research, page 7119-7129. PMLR, (2020)Reward-Respecting Subtasks for Model-Based Reinforcement Learning.R. Sutton, M. Machado, G. Holland, D. Szepesvari, F. Timbers, B. Tanner, and A. White. CoRR, (2022)Approximate Exploitability: Learning a Best Response.F. Timbers, N. Bard, E. Lockhart, M. Lanctot, M. Schmid, N. Burch, J. Schrittwieser, T. Hubert, and M. Bowling. IJCAI, page 3487-3493. ijcai.org, (2022)

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Disambiguation of "Timbers, Finbarr"

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OpenSpiel: A Framework for Reinforcement Learning in Games.

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Disambiguation of "Timbers, Finbarr"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML OpenSpiel: A Framework for Reinforcement Learning in Games.

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OpenSpiel: A Framework for Reinforcement Learning in Games.