"multi-armed bandit" meaning in English

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        "2": "one-armed bandit"
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  "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"
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      "expansion": "multi-armed bandit (plural multi-armed bandits)",
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  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
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          "kind": "other",
          "name": "English entries with incorrect language header",
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          "name": "Artificial intelligence",
          "orig": "en:Artificial intelligence",
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          "name": "Probability theory",
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      "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."
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          "machine learning",
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        [
          "algorithm",
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        ],
        [
          "allocate",
          "allocate"
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        [
          "maximize",
          "maximize"
        ],
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          "gain",
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      "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"
}

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        "2": "one-armed bandit"
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      "expansion": "one-armed bandit",
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  ],
  "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": [
    {
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      "tags": [
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  "lang_code": "en",
  "pos": "noun",
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      "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": [
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        [
          "algorithm",
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        ],
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          "allocate",
          "allocate"
        ],
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          "maximize",
          "maximize"
        ],
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          "gain",
          "gain"
        ]
      ],
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        "(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."
      ],
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  "word": "multi-armed bandit"
}