{
  "id": 11083811,
  "title": "ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents",
  "url": "https://urgent.news/2026/09/30/computersd-online-self-distillation-from-real-time-feedback-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-30T17:40:09.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.40253v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Online training enables computer-use agents (CUAs) to improve through interaction with executable environments. However, existing methods primarily rely on sparse outcome rewards, which provide no supervision for intermediate actions. On-policy self-distillation (OPSD) offers token-level learning signals through privileged rescoring, but directly applying it to CUA online training presents two…",
  "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."
}