2022
Residual Policy Learning Facilitates Efficient Model-Free Autonomous Racing
RA-L 2022
Motion planning for autonomous racing is a challenging task due to the safety requirement while driving aggressively. Most previous solutions utilize the prior information or depend on complex dynamics modeling. Classical model-free reinforcement learning methods are based on random sampling, which