PHIRL: Aligning Learned Rewards with Task Progress for Inverse Reinforcement Learning

Hang Yu, James Staley, Cheng Xi Tsou +8

Human demonstrations provide dense policy-level information but sometimes lack local precision. Human feedback presents accurate local critiques, but offers sparse evaluations rath…