2 papers
cs.RO2025
Sequence of Expert: Boosting Imitation Planners for Autonomous Driving through Temporal Alternation
Xiang Li, Gang Liu, Weitao Zhou +2
Imitation learning (IL) has emerged as a central paradigm in autonomous driving. While IL excels in matching expert behavior in open-loop settings by minimizing per-step prediction…
cs.RO2025
DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
Weitao Zhou, Bo Zhang, Zhong Cao +5
With the increasing presence of automated vehicles on open roads under driver supervision, disengagement cases are becoming more prevalent. While some data-driven planning systems…