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PAVE: Predictive Alignment and Value-Guided Evolution for World-Action Policies
Direct vision-language-action policies generate continuous robot actions efficiently, but standard behavior cloning leaves two complementary gaps: their representations are not explicitly required to describe how the scene evolves over multiple time scales, and deployment trajectories of unequal qua
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