{
  "id": 6523626,
  "title": "Why Sample What You Can Enumerate? Exact Policy Optimization for Genomic Tool Selection",
  "url": "https://urgent.news/2026/09/09/why-sample-what-you-can-enumerate-exact-policy-optimization-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-09T14:20:47.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.10221v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Reinforcement learning over a frozen reasoner has become a common recipe for teaching a policy which external tools to invoke. We show that this recipe becomes structurally mismatched in specialist scientific settings where the complete tool-subset space is enumerable. There, a small set of recurring computational capabilities covers the domain, so the space of tool subsets is combinatorial yet…",
  "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."
}