Summary
The Ph.D. project will research robot skill learning using deep reinforcement learning, with the aim of developing a data-efficient generalizable reinforcement learning framework by leveraging human priors, causal inference, and physical knowledge. Evaluations of the learning framework will be carried out using robots in our lab, where a variety of scenarios will be studied, including bimanual robot operation, object manipulation, and human-robot collaboration.
Full description
