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8114a50b2d8b3cddf222 · Poster: Green Network Optimization with Multi-Agent Reinforcement Learning: Work in Progress

Poster: Green Network Optimization with Multi-Agent Reinforcement Learning: Work in Progress

This paper proposes a distributed Green Network Optimization (GNO) with Multi-Agent Reinforcement Learning (MARL). GNO-MARL combines: (a) Network Utility Maximization (NUM) based network management, given the capacity constraints, on a "fast" time scale

Официальный источник · 2024-05-01

Полные импортированные сведения карточки
{
  "title_en": "Poster: Green Network Optimization with Multi-Agent Reinforcement Learning: Work in Progress",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2024-05-01",
  "date_original": "May 1, 2024",
  "url": "https://www.nist.gov/publications/poster-green-network-optimization-multi-agent-reinforcement-learning-work-progress",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Vladimir Marbukh",
  "abstract_excerpt_en": "This paper proposes a distributed Green Network Optimization (GNO) with Multi-Agent Reinforcement Learning (MARL). GNO-MARL combines: (a) Network Utility Maximization (NUM) based network management, given the capacity constraints, on a \"fast\" time scale",
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  "sources": [
    "NIST Publications"
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    {
      "title_en": "Poster: Green Network Optimization with Multi-Agent Reinforcement Learning: Work in Progress",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2024-05-01",
      "date_original": "May 1, 2024",
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      "display_en": "",
      "authors_en": "Vladimir Marbukh",
      "abstract_excerpt_en": "This paper proposes a distributed Green Network Optimization (GNO) with Multi-Agent Reinforcement Learning (MARL). GNO-MARL combines: (a) Network Utility Maximization (NUM) based network management, given the capacity constraints, on a \"fast\" time scale"
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