Hang Wang

VITA: Vision-to-Action Flow Matching Policy

IN-RIL: Interleaved Reinforcement and Imitation Learning for Policy Fine-Tuning

AdaWM: Adaptive World Model based Planning for Autonomous Driving

World-Model based Hierarchical Planning with Semantic Communications for Autonomous Driving

Ego-centric Learning of Communicative World Models for Autonomous Driving

Towards Understanding Robustness and Generalization in World Models