Qingxiuxiong Dong

An offline learning of behavior correction policy for vision-based robotic manipulation

Offline learning usually requires a large dataset for training. In this paper, we focus on vision-based robotic manipulation tasks and utilize certain task properties to achieve offline learning with a small dataset. We propose a two-stage agent consisting of a tentative decision stage and a correct…