Human-Aligned Longitudinal Control for Occluded Pedestrian Crossing With Visual Attention
Vinal Asodia,Zhenhua Feng,Saber Fallah,Vinal Asodia,Zhenhua Feng,Saber Fallah
Reinforcement Learning (RL) has been widely used to create generalizable autonomous vehicles. However, they rely on fixed reward functions that struggle to balance values like safety and efficiency. How can autonomous vehicles balance different driving objectives and human values in a constantly changing environment? To bridge this gap, we propose an adaptive reward function that utilizes visual a...
