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2025 ICML ICML 2025

Finite-Sample Convergence Bounds for Trust Region Policy Optimization in Mean Field Games

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Reinforcement Learning

Authors

Antonio Ocello, Daniil Tiapkin, Lorenzo Mancini, Mathieu Lauriere, Eric Moulines

Topics

Artificial Intelligence > Core AI > Multi-Agent Systems Reinforcement Learning > Methods > Policy Learning Reinforcement Learning > Applications > Game AI

Keywords

policy optimization nash equilibria mean field game trust region policy optimization finite sample complexity ergodic mfgs
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