Accelerating Reinforcement Learning of Robotic Manipulations via Feedback from Large Language Models

Kun Chu, Xufeng Zhao, Cornelius Weber +2

Reinforcement Learning (RL) plays an important role in the robotic manipulation domain since it allows self-learning from trial-and-error interactions with the environment. Still,…