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Train Together or Merge Later? Unifying VLA Experts via a Shared Action Interface

Zhang, Zhizhen et al.
arXiv (All) · Papers
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computer-vision-and-pattern-recognitionrobotics
Co-training offers a straightforward way to build a multi-task vision-language-action (VLA) policy, but can fall short of the performance achieved by training each task independently. The challenge is to retain these task-specific gains in a multi-task policy without joint post-training. Combining i
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