Fear-neuro-inspired reinforcement learning for safe autonomous driving

• Main Authors: He, Xiangkun, Wu, Jingda, Huang, Zhiyu, Hu, Zhongxu, Wang, Jun, Sangiovanni-Vincentelli, Alberto, Lv, Chen
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering::Mechanical engineering; Trustworthy Artificial Intelligence; Reinforcement Learning
• Online Access: https://hdl.handle.net/10356/173312
• Institution: Nanyang Technological University

Ensuring safety and achieving human-level driving performance remain challenges for autonomous vehicles, especially in safety-critical situations. As a key component of artificial intelligence, reinforcement learning is promising and has shown great potential in many complex tasks; however, its lack...