Zhen Zhang

Safe Offline Reinforcement Learning for Autonomous Driving via Causal Risk Features

Offline safe reinforcement learning aims to learn constraint-satisfying policies from pre-collected datasets without online interaction, which is critical for safety-critical applications such as autonomous driving. However, offline datasets collected from heterogeneous sources often contain spurious correlations betwe...