arXiv stat.ML
· Papers
Fast Rates for Inverse Reinforcement Learning
arXiv:2605.14599v2 Announce Type: replace-cross Abstract: We establish novel structural and statistical results for entropy-regularized min-max inverse reinforcement learning (Min-Max-IRL) in finite-horizon MDPs with Borel state and action spaces. We show that maximum likelihood estimation (MLE) and Min-Max-IRL are equ