{
  "id": 723507,
  "title": "Redistribution-based Cost Inference Improves Sparse Safe Offline RL",
  "url": "https://urgent.news/2026/08/12/redistribution-based-cost-inference-improves-sparse-safe-offline-rl",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-12T17:53:15.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.12306v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Safe offline RL typically assumes access to dense per-step cost annotations, but in practice supervisors provide only trajectory-level stop-feedback: a binary signal at the first unsafe transition, with no per-step attribution. We frame this as a temporal credit assignment problem and propose the Redistribution-based Cost Inference (RCI) framework, which converts sparse stop-feedback into dense…",
  "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."
}