2021
Robust Inverse Reinforcement Learning under Transition Dynamics Mismatch
NeurIPS 2021poster
We study the inverse reinforcement learning (IRL) problem under a transition dynamics mismatch between the expert and the learner. Specifically, we consider the Maximum Causal Entropy (MCE) IRL learner model and provide a tight upper bound on the learner's performance degradation based on the $\ell_…