Automated Dense Reward Function Design for Reinforcement Learning in Autonomous Driving
Crafting reward functions remains a challenge in reinforcement learning, particularly in autonomous driving (AD), where safety, efficiency, and task completion must be balanced. We introduce a GPT-5.6-based revision of AD Reward Designer, a framework for generating interpretable dense reward functions from natural lang...