{
  "id": 6369507,
  "title": "Power Mean Estimation in Stochastic Continuous Monte Carlo Tree Search",
  "url": "https://urgent.news/2026/09/06/power-mean-estimation-in-stochastic-continuous-monte-carlo-tree-search",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-06T09:04:39.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.06489v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Monte Carlo Tree Search (MCTS) has demonstrated success in online planning for deterministic environments, yet significant challenges remain in adapting it to stochastic Markov Decision Processes (MDPs), particularly in continuous state-action spaces. Existing methods, such as HOOT, which combines MCTS with the Hierarchical Optimistic Optimization (HOO) bandit strategy, address continuous spaces…",
  "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."
}