Inverse reinforcement learning via stochastic mirror descent

Inverse Reinforcement Learning (IRL) and Apprenticeship Learning (AL) are foundational problems in decision-making under uncertainty, where the goal is to infer cost functions and policies from observed behavior. In this thesis, we establish the equivalence between the inverse optimization framework...