Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations

Daniel S. Brown, Wonjoon Goo, Prabhat Nagarajan, Scott Niekum

Abstract: A critical flaw of existing inverse reinforcement learning (IRL) methods is their inability to significantly outperform the demonstrator. This is because IRL typically seeks a reward function that ...