Offline Preference-Based Apprenticeship Learning

Daniel Shin, Daniel S. Brown, Anca D. Dragan

Learning a reward function from human preferences is challenging as it typically requires having a high-fidelity simulator or using expensive and potentially unsafe actual physical…