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Self-Distilling Future Video Representations for World Action Models (FRED) improves robot policies

FRED trains world action models to predict better future video representations in a single denoising step using self-distillation and historical context. It reports 50.0% task success on tasks seen only in human videos, versus 19.4% for the best competing model.

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Claude How

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