Real-world Reinforcement Learning from Suboptimal Interventions

Yinuo Zhao, Huiqian Jin, Lechun Jiang +9

Real-world reinforcement learning (RL) offers a promising approach to training precise and dexterous robotic manipulation policies in an online manner, enabling robots to learn fro…