Preference-Calibrated Human-in-the-Loop Reinforcement Learning for Robotic Manipulation

Zeyi Liu, Guangyao Liu, Yinuo Qu +6

Human-in-the-loop reinforcement learning (HIL-RL) improves sample efficiency in real-robot manipulation through online human intervention. However, successful trajectories may incl…