Yuming Niu

Safety-Aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving

In the domain of autonomous driving, the offline Reinforcement Learning (RL) approaches exhibit notable efficacy in addressing sequential decision-making problems from offline datasets. However, maintaining safety in diverse safety-critical scenarios remains a significant challenge due to long-taile