Jinpeng Zang

Human-Like Autonomous Driving Car-Following Behavior Learning Based on Adversarial Training and Uncertainty-Aware DDPG

Designing effective car-following (CF) models is essential for the development of safe and efficient autonomous driving systems, enabling ego vehicles to adjust their speed based on leading traffic. However, current data-driven CF models, particularly those based on reinforcement learning (RL), ofte