{
  "id": 17176436,
  "title": "Cheap Retrieval and Observation Credit Assignment from One Quantity: The Value of Information",
  "url": "https://urgent.news/2026/10/29/cheap-retrieval-and-observation-credit-assignment-from-one-quantity",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-29T13:36:06.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.40030v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Memory in reinforcement learning raises two problems. Attention finds the relevant item by scoring the whole store, which is costly for robots under latency and energy limits. When a retrieved memory pays off, credit for acquiring it must cross the whole sequence. We argue that both are governed by one quantity, the value of information, and propose to estimate it from archived rollouts with a…",
  "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."
}