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DriftOPD: Sequence-Level Reverse-KL Distillation for One-Step VLA Policies
Vision-Language-Action (VLA) models increasingly rely on action experts that generate short action chunks under receding-horizon control. While chunk-level training is convenient across robot embodiments, it optimizes local action likelihood without explicitly accounting for long-horizon task succes
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