Accelerating Robotic Reinforcement Learning with Agent Guidance

Haojun Chen, Zili Zou, Chengdong Ma +4

Reinforcement Learning (RL) offers a powerful paradigm for autonomous robots to master generalist manipulation skills through trial-and-error. However, its real-world application i…