OpenREAD: Reinforced Open-Ended Reasoning for End-to-End Autonomous Driving with LLM-as-Critic

This article introduces OpenREAD, a novel approach to end-to-end autonomous driving. It leverages a Large Language Model (LLM) as a critic to enhance reasoning capabilities. The use of reinforcement learning suggests an iterative improvement process. The focus on open-ended reasoning implies the system is designed to handle complex and unpredictable driving scenarios.