Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion

Laura Smith*, Yunhao Cao*, Sergey Levine

ICRA 2024

We propose a method for dynamically adjusting a robot’s exploration while learning in the real world. We demonstrate that growing the limits of the robot’s search space leads to safer, more efficient learning and enables continuous improvement.

Webpage Arxiv