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Neural Replicator Dynamics.

S. Omidshafiei, D. Hennes, D. Morrill, R. Munos, J. Pérolat, M. Lanctot, A. Gruslys, J. Lespiau, and K. Tuyls. CoRR, (2019)

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Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients.D. Hennes, D. Morrill, S. Omidshafiei, R. Munos, J. Pérolat, M. Lanctot, A. Gruslys, J. Lespiau, P. Parmas, E. Duéñez-Guzmán and 1 other author(s). AAMAS, page 492-501. International Foundation for Autonomous Agents and Multiagent Systems, (2020)The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning.A. Gruslys, W. Dabney, M. Azar, B. Piot, M. Bellemare, and R. Munos. ICLR (Poster), OpenReview.net, (2018)Neural Replicator Dynamics.S. Omidshafiei, D. Hennes, D. Morrill, R. Munos, J. Pérolat, M. Lanctot, A. Gruslys, J. Lespiau, and K. Tuyls. CoRR, (2019)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)A New Fast Accurate Nonlinear Medical Image Registration Program Including Surface Preserving Regularization.A. Gruslys, J. Acosta-Cabronero, P. Nestor, G. Williams, and R. Ansorge. IEEE Trans. Medical Imaging, 33 (11): 2118-2127 (2014)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)Deep Q-learning From Demonstrations.T. Hester, M. Vecerík, O. Pietquin, M. Lanctot, T. Schaul, B. Piot, D. Horgan, J. Quan, A. Sendonaris, I. Osband and 4 other author(s). AAAI, page 3223-3230. AAAI Press, (2018)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)Quantile Credit Assignment.T. Mesnard, W. Chen, A. Saade, Y. Tang, M. Rowland, T. Weber, C. Lyle, A. Gruslys, M. Valko, W. Dabney and 3 other author(s). ICML, volume 202 of Proceedings of Machine Learning Research, page 24517-24531. PMLR, (2023)The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement LearningA. Gruslys, W. Dabney, M. Azar, B. Piot, M. Bellemare, and R. Munos. ICLR, (2017)cite arxiv:1704.04651.

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Neural Replicator Dynamics.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Neural Replicator Dynamics.

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Neural Replicator Dynamics.