Precise and Dexterous Robotic Manipulation via Human-in-the-Loop
Reinforcement Learning
Precise and Dexterous Robotic Manipulation via Human-in-the-Loop
Reinforcement Learning
Reinforcement learning (RL) holds great promise for enabling autonomous acquisition of complex robotic manipulation skills, but realizing this potential in real-world settings has been challenging. We present a human-in-the-loop vision-based RL system that demonstrates impressive performance on a diverse set of dexterous manipulation tasks, including dynamic manipulation, precision assembly, and …