{
  "id": 12526388,
  "title": "Reinforcement Learning with Conformal Action Sets: An Application to Sequential Recommendation",
  "url": "https://urgent.news/2026/10/06/reinforcement-learning-with-conformal-action-sets-an-application-to",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-06T17:40:52.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.08743v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Sequential recommenders typically use a fixed slate size even though the number of useful alternatives changes within a session. We propose Reinforcement Learning with Calibrated Pruning (RLCP), which adapts the retained action set using critic scores and an online threshold. The threshold is updated from binary feedback indicating whether the set contains an action in a proxy target. We prove 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."
}