Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving
CoPhy, a CognitivePhysical reinforcement learning framework for autonomous driving, builds an auto-regressive BEV world model that explicitly predicts future semantic maps conditioned on candidate actions, and enables safer driving via cognitively informed scene compliance and flexible intent control through user-defin...