Legged Robots that Keep on Learning: Fine-Tuning Locomotion Policies in the Real World
Laura Smith,J. Chase Kew,Xue Bin Peng,Sehoon Ha,Jie Tan,Sergey Levine,Laura Smith,J. Chase Kew,Xue Bin Peng,Sehoon Ha,Jie Tan,Sergey Levine
Legged robots are physically capable of traversing a wide range of challenging environments, but designing controllers that are sufficiently robust to handle this diversity has been a long-standing challenge in robotics. Reinforcement learning presents an appealing approach for automating the controller design process and has been able to produce remarkably robust controllers when trained in a sui...
