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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...

Yang Wu, Qiang Meng, Zhaojiang Liu et al. · 3 citations · ⚡1

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