{
  "id": 112451,
  "title": "Infinite Trace Objectives with Finite Trace Techniques: Translating LTL to LTLf+",
  "url": "https://urgent.news/2026/08/03/infinite-trace-objectives-with-finite-trace-techniques-translating",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-03T16:30:26.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.02454v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Linear Temporal Logic (LTL) is one of the most widely adopted languages for specifying temporal extended objectives in AI, with applications ranging from reactive synthesis to stochastic planning in Markov decision processes and reinforcement learning. Traditionally, solving any of these problems requires translating the LTL specification to a nondeterministic automata on infinite words and then…",
  "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."
}