{
  "id": 19078717,
  "title": "Travel Cost Calibration for Multi-Agent Target Assignment and Pathfinding",
  "url": "https://urgent.news/2026/11/06/travel-cost-calibration-for-multi-agent-target-assignment-and",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-06T12:34:10.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.09396v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Target assignment and pathfinding (TAPF) is an appealing extension of classical multi-agent pathfinding (MAPF): each agent has a set of targets, and the planner must both assign a target to each agent and plan collision-free paths for them. A trivial approach is to compute an assignment that minimizes the total single-agent shortest-path distance over agent--target pairs, and then solve 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."
}