2023
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
ICLR 2023poster
This work aims to tackle a major challenge in offline Inverse Reinforcement Learning (IRL), namely the reward extrapolation error, where the learned reward function may fail to explain the task correctly and misguide the agent in unseen environments due to the intrinsic covariate shift. Leveraging b…