{
  "id": 14601092,
  "title": "Modeling and Understanding Neural Weights of Humanoid Policies with Diffusion",
  "url": "https://urgent.news/2026/10/14/modeling-and-understanding-neural-weights-of-humanoid-policies-with",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-14T17:59:52.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.20606v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Recent advances in robot learning have driven rapid progress in humanoid control, enabling increasingly agile behaviors in the real world. However, humanoid control networks are typically obtained through conventional training procedures, while comparatively little attention has been given to directly modeling the distribution of their learned weights and generating functional networks in weight…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}