{
  "id": "ai-training-manager",
  "title": "AI Training Manager: Bounded Closed-Loop Control of Adaptive Training Recipes",
  "authors": [
    {
      "given": "Anjali",
      "family": "Rao"
    },
    {
      "given": "Nikhil Kamalkumar",
      "family": "Advani"
    }
  ],
  "year": 2026,
  "venue": "arXiv",
  "paper_url": "https://arxiv.org/abs/2606.29871",
  "pdf_url": "https://arxiv.org/pdf/2606.29871",
  "doi": "10.48550/arXiv.2606.29871",
  "summary": "异步 LLM 监督控制器观察训练遥测数据，对正在执行的训练配置提出受约束的修改，并在刻意引入的监督学习与强化学习失败模式上实验。",
  "connection": "研究对正在进行的训练实施自动控制，与 Interactive Training 为人和自动化控制器提供的可复用基础设施互补。",
  "bibtex_type": "article",
  "citation_key": "rao2026aitrainingmanager",
  "source_urls": [
    "https://arxiv.org/abs/2606.29871",
    "https://arxiv.org/html/2606.29871v3"
  ],
  "arxiv_id": "2606.29871",
  "arxiv_first_posted": "2026-06-29",
  "publication_type": "preprint",
  "container_title": "arXiv",
  "updated_at": "2026-11-11",
  "description_language": "zh-Hans",
  "abstract_language": "en",
  "record_url": "https://yuntiandeng.com/research/zh/papers/ai-training-manager/"
}