{
  "id": 14857870,
  "title": "CoDA: Co-Evolution of Data Engines and Action Policies",
  "url": "https://urgent.news/2026/10/15/coda-co-evolution-of-data-engines-and-action-policies",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-15T17:59:02.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.22362v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Generative simulation can automate robot environment construction, but physically valid environments are not necessarily useful for training. The challenge is to identify environments that address a policy's failures and supervision that helps it overcome them. We introduce CoDA, a framework in which a simulation data engine and an action policy co-evolve through a shared heterogeneous memory of…",
  "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."
}