HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving
arXiv:2604.03581v1 Announce Type: cross
Abstract: End-to-end planning has emerged as a dominant paradigm for autonomous driving, where recent models often adopt a scoring-selection framework to choose trajectories from a large set of candidates, with …