RoXDrive: Closed-Loop Reinforcement Learning for End-to-End Autonomous Driving via Action-Faithful Rollouts
RoXDrive is introduced, a plug-and-play closed-loop RL framework that enables reliable policy optimization by identifying action-faithful world-model rollouts and an Action-Vision Faithfulness Evaluator for inverse dynamics estimation with geometry-aware auxiliary trajectory supervision, enabling long-horizon assessmen...