{
  "id": 16828125,
  "title": "Conservative Policy Iteration For Zero-Sum POSGs",
  "url": "https://urgent.news/2026/10/27/conservative-policy-iteration-for-zero-sum-posgs",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-27T08:45:33.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.36847v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Occupancy-state reductions make dynamic programming possible for zero-sum partially observable stochastic games (zs-POSGs). Existing point-based solvers usually optimise a central value function. This restores Bellman recursion, but it requires point-based updates over high-dimensional occupancy spaces. We introduce an approximate policy-iteration algorithm for finite-horizon zs-POSGs. The method…",
  "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."
}