Loop-Free Inverse Reinforcement Learning via Sequential Value Recovery with Q-Score Matching.

arXiv:2609.38955v1 Announce Type: cross Abstract: Inverse Reinforcement Learning (IRL) aims to recover a reward function that explains expert demonstrations. Existing IRL methods typically rely on a bi-level optimization procedure that alternates between rewar