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Concave Utility Reinforcement Learning: the Mean-field Game viewpoint.

, , , , , , , и . CoRR, (2021)

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Nabil Sarah

Jason Perrin

Guillaume Perrin

Philipp Perrin

Irène Perrin

 

Другие публикации лиц с тем же именем

Solving N-player dynamic routing games with congestion: a mean field approach., , , , , , , , , и . CoRR, (2021)Concave Utility Reinforcement Learning: the Mean-field Game viewpoint., , , , , , , и . CoRR, (2021)Concave Utility Reinforcement Learning: The Mean-field Game Viewpoint., , , , , , , и . AAMAS, стр. 489-497. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Learning Correlated Equilibria in Mean-Field Games., , , , , , , , , и . CoRR, (2022)Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications., , , , , и . NeurIPS, (2020)Scaling Mean Field Games by Online Mirror Descent., , , , , , , и . AAMAS, стр. 1028-1037. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Scaling up Mean Field Games with Online Mirror Descent., , , , , , , и . CoRR, (2021)Generalization in Mean Field Games by Learning Master Policies., , , , , и . CoRR, (2021)Generalization in Mean Field Games by Learning Master Policies., , , , , и . AAAI, стр. 9413-9421. AAAI Press, (2022)Solving N-Player Dynamic Routing Games with Congestion: A Mean-Field Approach., , , , , , , , , и . AAMAS, стр. 1557-1559. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)