Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization

Raphael Trumpp, Denis Hoornaert, Mirco Theile +1

Residual policy learning (RPL), in which a learned policy refines a static base policy using deep reinforcement learning (DRL), has shown strong performance across various robotic…