Author

You-Quan Liu

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#machine learning May 2026

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. · arXiv.org · 3 citations · ⚡1

Preprint Oct 2026

VITAL: From Visual Motion to Precise Action

World-action models aim to turn visual anticipation into driving decisions, yet typically train action experts on trajectory representations defined independently of visual dynamics. This motivates deriving action targets directly from visual motion. We first examine a simpler setting in which trajectories are reconstr...

Ao Liang, You-Quan Liu, Ming-Xiao Li et al. · 0 citations