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OGPO: Offline Goal-conditioned Policy Optimization for Recoverable Vision-Language-Action Models
Vision-language-action (VLA) models have shown strong promise in robotic manipulation, yet their post-training still predominantly relies on trajectory-level supervised imitation over robot demonstrations. While effective for learning feasible actions, this paradigm supervises policies to reproduce
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