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zihao.sheng@wisc.edu
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Autonomous vehicles can now leverage the rich semantic understanding of VLMs for safer driving without the computational overhead, thanks to a clever training strategy that distills VLM knowledge into a real-time RL policy.
Achieve near-VLM autonomous driving performance with a lightweight RL model running at 500 FPS by asynchronously distilling knowledge from VLMs.
