Identifiability and Generalizability in Constrained Inverse Reinforcement Learning

Andreas Schlaginhaufen, Maryam Kamgarpour

Two main challenges in Reinforcement Learning (RL) are designing appropriate reward functions and ensuring the safety of the learned policy. To address these challenges, we present…