Reset-Free Reinforcement Learning for Real-World Agile Driving: An Empirical Study
DGX agentarXiv:2604.07672v1 Announce Type: new Abstract: This paper presents an empirical study of reset-free reinforcement learning (RL) for real-world agile driving, in which a physical 1/10-scale vehicle le