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• 论文公开站arXiv2026年10月2日 22:12

  InterEvolve: Test-Time Evolution of Reward Programs for Humanoid Loco-Manipulation

  We study test-time evolution for humanoid loco-manipulation: solving tasks that a controller was never trained for by repurposing its existing skills, improving from its own attempts, and retaining what it learns, without retraining. Our key insight is that a broad controller alr

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