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Purdue University
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DREAM-Chunk transforms action chunking by leveraging latent world models to enhance robustness against stochastic dynamics without the need for policy retraining.
Closed-loop evaluation reveals how VLMs for autonomous driving handle the messy reality of off-road deviations and out-of-distribution states, something static QA datasets can't capture.
