Human-centric Reward Optimization for Reinforcement Learning-based Automated Driving using Large Language Models

Ziqi Zhou, Jingyue Zhang, Jingyuan Zhang +4

One of the key challenges in current Reinforcement Learning (RL)-based Automated Driving (AD) agents is achieving flexible, precise, and human-like behavior cost-effectively. This…