Gaussian Processes for Data-Efficient Learning in Robotics and Control
Gaussian Processes for Data-Efficient Learning in Robotics and Control
Autonomous learning has been a promising direction in control and robotics for more than a decade since data-driven learning allows to reduce the amount of engineering knowledge, which is otherwise required. However, autonomous reinforcement learning (RL) approaches typically require many interactions with the system to learn controllers, which is a …