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

Yang Chen, Yang chen, Yitan Zhang +2

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…