Xun Li

Inverse reinforcement learning for indefinite mean-field social optimization with multiplicative noise

This paper proposes a model-based inverse RL algorithm with two sequential loops that separately handle individual and MF dynamics, and proves its convergence and closed-loop stabilizability, and characterize the non-uniqueness of the recovered cost weights.