In policy learning for robotic manipulation, sample efficiency is of
par...
Interactive Imitation Learning (IIL) is a branch of Imitation Learning (...
In recent years, policy learning methods using either reinforcement or
i...
Learning to solve complex manipulation tasks from visual observations is...
We present a reinforcement learning-based solution to autonomously race ...
This paper presents the algorithms and system architecture of an autonom...