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UC San Diego
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Interaction-weighted Resampling transforms how robots learn to manipulate objects, yielding a 19.8% boost in performance and a breakthrough in real-world goal achievement.
Foundation model embeddings contain so much irrelevant detail that projecting them into a task-centric latent space actually *improves* world model quality and control performance.