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WALA Learning Executable Latent Actions from Action-Labeled Demonstrations and Action-Free Videos
Human videos provide rich information about object manipulation at a scale difficult to reproduce with robots, but often lack action annotations that can directly supervise robot policies. Realizing this potential requires distinguishing interaction-relevant changes from static appearance and connec
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