Adversarial Skill Learning for Robust Manipulation

Pingcheng Jian, Chao Yang, Di Guo +2

Deep reinforcement learning has made significant progress in robotic manipulation tasks and it works well in the ideal disturbance-free environment. However, in a real-world enviro…