{
  "id": 10338676,
  "title": "MA-WAM: Multi-Agent World-Action Model for Test-Time Planning",
  "url": "https://urgent.news/2026/09/25/ma-wam-multi-agent-world-action-model-for-test-time-planning",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-25T13:52:39.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.31281v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Multi-agent cooperative tasks require different agents to execute a joint action simultaneously, and each agent's action affects both the observations and responses of the other agents. Hence, a world model is needed to predict the team return resulting from the joint actions of all agents. A naive extension directly applies a single-agent world model to each agent's action when predicting the…",
  "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."
}