Imitation Learning in Multi-Agent systems

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Cooperation, Competition, and Common Pool Resources in Mean Field Games and Extensions with Inverse Learning

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Homogenization and mean-field approximations for systems of heterogeneous agents

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RL and Equilibria for Multi-Agent Dynamical Systems in the High-Population Regime

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Lightning Talks

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Scalable Reinforcement Learning for Networked Multi-Agent Systems

Na Li
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Extending Mean Field RL to Partially Observable Environments, Agents of Multiple Types and Decentralized Learning

Pascal Poupart
May 19, 2026

Reinforcement Learning for Quantal Mean-Field Leader-Follower Games

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May 19, 2026

Public Lecture: Recent Advances in LLMs for Mathematics

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May 19, 2026