{
  "id": 10589381,
  "title": "Improving LLM Collaboration via Multi-Agent Preference Learning",
  "url": "https://urgent.news/2026/09/26/improving-llm-collaboration-via-multi-agent-preference-learning",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-26T17:54:03.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.32827v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Several works have explored multi-agent reinforcement learning (MARL) in LLM collaboration. However, constructing reliable rewards is difficult in practice, as complete and accurate metrics are often unavailable and hard to aggregate. Preference learning provides an alternative by learning from comparative human or AI feedback. Yet, its extension to multi-agent systems remains underexplored. To…",
  "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."
}