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HiRe-MoMa: Hierarchical Residual Policy Learning for Robotics

Researchers proposed HiRe-MoMa, a framework designed for fine-tuning real-world mobile manipulation systems using sparse human guidance.

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• HiRe-MoMa: Hierarchical Residual Policy Learning for Robotics arXiv: new preprints (security, AI, physics) · tier C · clear net · 2026-10-14 17:59 UTC

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