Precise and dexterous robotic manipulation via human-in-the-loop reinforcement learning
{{output}}
Robotic manipulation remains one of the most difficult challenges in robotics, with approaches ranging from classical model-based control to modern imitation learning. Although these methods have enabled substantial progress, they often require extensive manua... ...
