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    "story_id": "mp-2026-09-30-003",
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    "edition_id": "mp-2026-09-30-morning-0083",
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    "section": "robotics",
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    "headline": "A Robot Policy Learned Corrections as Reusable Skills",
    "slug": "a-robot-policy-learned-corrections-as-reusable-skills",
    "dek": "Skill-space shooting turned successful foundation-model-guided trials into supervision for the policy itself.",
    "summary": "Skill-space shooting turned successful foundation-model-guided trials into supervision for the policy itself.",
    "body_text": "Skill-space shooting searches for corrections through short reusable behaviors that a foundation model can select from a scene. Successful trials become new policy supervision rather than remaining a one-off agent plan. The authors report repeated autonomous improvement in real-world policies and show that skills can be shared across tasks to reduce new teaching. The abstract establishes the mechanism and reported pattern, but does not provide a universal success rate or remove the need to validate corrections on each robot and task.",
    "why_it_matters": "Skill-space shooting turned successful foundation-model-guided trials into supervision for the policy itself.",
    "limitations": [
      "The abstract establishes the mechanism and reported pattern, but does not provide a universal success rate or remove the need to validate corrections on each robot and task."
    ],
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    "first_published_at": "2026-09-30T09:00:00.000-04:00",
    "modified_at": "2026-09-30T09:02:00.000-04:00",
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        "text": "Skill-space shooting turned successful foundation-model-guided trials into supervision for the policy itself.",
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        "qualification": "The abstract establishes the mechanism and reported pattern, but does not provide a universal success rate or remove the need to validate corrections on each robot and task."
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    "source_ids": [
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    "tags": [
      "robot learning",
      "policy improvement",
      "reusable skills"
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  "sources": [
    {
      "source_id": "source-2026-09-30-003",
      "title": "arXiv preprint 2609.38178",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2609.38178",
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      "source_type": "primary_research",
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      "published_at": "2026-09-29T13:59:55.000-04:00",
      "accessed_at": "2026-09-30T08:24:00.000-04:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "A Robot Policy Learned Corrections as Reusable Skills",
    "publisher": "The Machine Press",
    "published_at": "2026-09-30T09:00:00.000-04:00",
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