"multi-armed bandit" meaning in English

{
  "etymology_text": "From one-armed bandit, by analogy with a gambler at a row of slot machines who has to decide how best to play them.",
  "forms": [
    {
      "form": "multi-armed bandits",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "multi-armed bandit (plural multi-armed bandits)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
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          "name": "Pages with 1 entry",
          "parents": [],
          "source": "w"
        },
        {
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          "parents": [],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Machine learning",
          "orig": "en:Machine learning",
          "parents": [
            "Artificial intelligence",
            "Computer science",
            "Cybernetics",
            "Computing",
            "Sciences",
            "Applied mathematics",
            "Systems theory",
            "Technology",
            "All topics",
            "Mathematics",
            "Systems",
            "Fundamental",
            "Formal sciences",
            "Interdisciplinary fields",
            "Society"
          ],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Probability theory",
          "orig": "en:Probability theory",
          "parents": [
            "Mathematical analysis",
            "Mathematics",
            "Formal sciences",
            "Sciences",
            "All topics",
            "Fundamental"
          ],
          "source": "w"
        }
      ],
      "glosses": [
        "An algorithm that allocates a fixed limited set of resources between competing alternative choices so as to maximize the expected gain, when each choice's properties are only partially known at the time of allocation, and may become better understood as time passes or allocations are made."
      ],
      "id": "en-multi-armed_bandit-en-noun-q733YZ2y",
      "links": [
        [
          "probability theory",
          "probability theory"
        ],
        [
          "machine learning",
          "machine learning"
        ],
        [
          "algorithm",
          "algorithm"
        ],
        [
          "allocate",
          "allocate"
        ],
        [
          "maximize",
          "maximize"
        ],
        [
          "gain",
          "gain"
        ]
      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(probability theory, machine learning) An algorithm that allocates a fixed limited set of resources between competing alternative choices so as to maximize the expected gain, when each choice's properties are only partially known at the time of allocation, and may become better understood as time passes or allocations are made."
      ],
      "topics": [
        "mathematics",
        "probability-theory",
        "sciences"
      ]
    }
  ],
  "word": "multi-armed bandit"
}

{
  "etymology_text": "From one-armed bandit, by analogy with a gambler at a row of slot machines who has to decide how best to play them.",
  "forms": [
    {
      "form": "multi-armed bandits",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "multi-armed bandit (plural multi-armed bandits)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        "English countable nouns",
        "English entries with incorrect language header",
        "English lemmas",
        "English multiword terms",
        "English nouns",
        "Pages with 1 entry",
        "Pages with entries",
        "en:Machine learning",
        "en:Probability theory"
      ],
      "glosses": [
        "An algorithm that allocates a fixed limited set of resources between competing alternative choices so as to maximize the expected gain, when each choice's properties are only partially known at the time of allocation, and may become better understood as time passes or allocations are made."
      ],
      "links": [
        [
          "probability theory",
          "probability theory"
        ],
        [
          "machine learning",
          "machine learning"
        ],
        [
          "algorithm",
          "algorithm"
        ],
        [
          "allocate",
          "allocate"
        ],
        [
          "maximize",
          "maximize"
        ],
        [
          "gain",
          "gain"
        ]
      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(probability theory, machine learning) An algorithm that allocates a fixed limited set of resources between competing alternative choices so as to maximize the expected gain, when each choice's properties are only partially known at the time of allocation, and may become better understood as time passes or allocations are made."
      ],
      "topics": [
        "mathematics",
        "probability-theory",
        "sciences"
      ]
    }
  ],
  "word": "multi-armed bandit"
}