Yongwei Feng

Continuously Improved Reinforcement Learning for Automated Driving

Reinforcement Learning (RL) offers a promising solution to enable evolutionary automated driving. However, conventional RL methods often struggle with risk performance, as updated policies may fail to enhance performance or even lead to deterioration. To address this challenge, this research introdu