Julian Lemmel

Scalable Offline Reinforcement Learning for Mean Field Games

2024 · arXiv (Cornell University)

Reinforcement learning algorithms for mean-field games offer a scalable framework for optimizing policies in large populations of interacting agents. Existing methods often depend on online interactions or access to system dynamics, limiting their practicality in …