2 papers
cs.AI2026
Found-RL: foundation model-enhanced reinforcement learning for autonomous driving
Yansong Qu, Zihao Sheng, Zilin Huang +6
Reinforcement Learning (RL) has emerged as a dominant paradigm for end-to-end autonomous driving (AD). However, RL suffers from sample inefficiency and a lack of semantic interpret…
cs.LG2025
Vehicle-group-based Crash Risk Prediction and Interpretation on Highways
Tianheng Zhu, Ling Wang, Yiheng Feng +2
Previous studies in predicting crash risks primarily associated the number or likelihood of crashes on a road segment with traffic parameters or geometric characteristics, usually…