{
  "holdings": [
    {
      "id": "ee38eecd-3ca5-5f0b-b7e1-43ca80c785d6",
      "hrid": "ah14250301_1",
      "notes": [

      ],
      "_version": 1,
      "metadata": {
        "createdDate": "2023-08-21T21:26:31.279Z",
        "updatedDate": "2023-08-21T21:26:31.279Z",
        "createdByUserId": "58d0aaf6-dcda-4d5e-92da-012e6b7dd766",
        "updatedByUserId": "58d0aaf6-dcda-4d5e-92da-012e6b7dd766"
      },
      "sourceId": "f32d531e-df79-46b3-8932-cdd35f7a2264",
      "boundWith": null,
      "formerIds": [

      ],
      "illPolicy": null,
      "instanceId": "021b91cf-c68f-50f5-86d9-2fbdbbe20ee7",
      "holdingsType": {
        "id": "996f93e2-5b5e-4cf2-9168-33ced1f95eed",
        "name": "Electronic",
        "source": "folio"
      },
      "holdingsItems": [

      ],
      "callNumberType": null,
      "holdingsTypeId": "996f93e2-5b5e-4cf2-9168-33ced1f95eed",
      "electronicAccess": [

      ],
      "bareHoldingsItems": [

      ],
      "holdingsStatements": [

      ],
      "statisticalCodeIds": [

      ],
      "administrativeNotes": [

      ],
      "effectiveLocationId": "b0a1a8c3-cc9a-487c-a2ed-308fc3a49a91",
      "permanentLocationId": "b0a1a8c3-cc9a-487c-a2ed-308fc3a49a91",
      "suppressFromDiscovery": false,
      "holdingsStatementsForIndexes": [

      ],
      "holdingsStatementsForSupplements": [

      ],
      "location": {
        "effectiveLocation": {
          "id": "b0a1a8c3-cc9a-487c-a2ed-308fc3a49a91",
          "code": "SUL-ELECTRONIC",
          "name": "online resource",
          "campus": {
            "id": "c365047a-51f2-45ce-8601-e421ca3615c5",
            "code": "SUL",
            "name": "Stanford Libraries"
          },
          "details": {
          },
          "library": {
            "id": "c1a86906-ced0-46cb-8f5b-8cef542bdd00",
            "code": "SUL",
            "name": "SUL"
          },
          "isActive": true,
          "institution": {
            "id": "8d433cdd-4e8f-4dc1-aa24-8a4ddb7dc929",
            "code": "SU",
            "name": "Stanford University"
          }
        },
        "permanentLocation": {
          "id": "b0a1a8c3-cc9a-487c-a2ed-308fc3a49a91",
          "code": "SUL-ELECTRONIC",
          "name": "online resource",
          "campus": {
            "id": "c365047a-51f2-45ce-8601-e421ca3615c5",
            "code": "SUL",
            "name": "Stanford Libraries"
          },
          "details": {
          },
          "library": {
            "id": "c1a86906-ced0-46cb-8f5b-8cef542bdd00",
            "code": "SUL",
            "name": "SUL"
          },
          "isActive": true,
          "institution": {
            "id": "8d433cdd-4e8f-4dc1-aa24-8a4ddb7dc929",
            "code": "SU",
            "name": "Stanford University"
          }
        }
      }
    }
  ],
  "items": [

  ]
}

{
  "pieces": [
    null
  ],
  "instance": {
    "id": "021b91cf-c68f-50f5-86d9-2fbdbbe20ee7",
    "hrid": "a14250301",
    "notes": [
      {
        "note": "Includes bibliographical references (pages 73-88)",
        "staffOnly": false,
        "instanceNoteTypeId": "86b6e817-e1bc-42fb-bab0-70e7547de6c1"
      },
      {
        "note": "1. Markov decision processes -- Preliminaries -- Markov decision processes -- Value functions -- Dynamic programming algorithms for solving MDPs",
        "staffOnly": false,
        "instanceNoteTypeId": "5ba8e385-0e27-462e-a571-ffa1fa34ea54"
      },
      {
        "note": "Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. What distinguishes reinforcement learning from supervised learning is that only partial feedback is given to the learner about the learner's predictions. Further, the predictions may have long term effects through influencing the future state of the controlled system. Thus, time plays a special role. The goal in reinforcement learning is to develop efficient learning algorithms, as well as to understand the algorithms' merits and limitations. Reinforcement learning is of great interest because of the large number of practical applications that it can be used to address, ranging from problems in artificial intelligence to operations research or control engineering. In this book, we focus on those algorithms of reinforcement learning that build on the powerful theory of dynamic programming. We give a fairly comprehensive catalog of learning problems, describe the core ideas, note a large number of state of the art algorithms, followed by the discussion of their theoretical properties and limitations",
        "staffOnly": false,
        "instanceNoteTypeId": "10e2e11b-450f-45c8-b09b-0f819999966e"
      }
    ],
    "title": "Algorithms for reinforcement learning / Csaba Szepesvári.",
    "series": [
      "Synthesis lectures on artificial intelligence and machine learning,  1939-4616 ; #9",
      "Synthesis lectures on artificial intelligence and machine learning ;  #9"
    ],
    "source": "MARC",
    "_version": 1,
    "editions": [

    ],
    "metadata": {
      "createdDate": "2023-08-21T21:22:27.688Z",
      "updatedDate": "2023-08-21T21:22:27.688Z",
      "createdByUserId": "58d0aaf6-dcda-4d5e-92da-012e6b7dd766",
      "updatedByUserId": "58d0aaf6-dcda-4d5e-92da-012e6b7dd766"
    },
    "statusId": "9634a5ab-9228-4703-baf2-4d12ebc77d56",
    "subjects": [
      "Reinforcement learning Mathematical models",
      "Machine learning",
      "Markov processes",
      "Markov Chains",
      "Apprentissage par renforcement (Intelligence artificielle) Modèles mathématiques",
      "Apprentissage automatique",
      "Processus de Markov",
      "COMPUTERS Enterprise Applications Business Intelligence Tools",
      "COMPUTERS Intelligence (AI) & Semantics"
    ],
    "languages": [
      "eng"
    ],
    "indexTitle": "Algorithms for reinforcement learning",
    "identifiers": [
      {
        "value": "(Sirsi) a14250301",
        "identifierTypeId": "7e591197-f335-4afb-bc6d-a6d76ca3bace"
      },
      {
        "value": "9781608454938 (electronic bk.)",
        "identifierTypeId": "8261054f-be78-422d-bd51-4ed9f33c3422"
      },
      {
        "value": "1608454932 (electronic bk.)",
        "identifierTypeId": "8261054f-be78-422d-bd51-4ed9f33c3422"
      },
      {
        "value": "1608454924",
        "identifierTypeId": "8261054f-be78-422d-bd51-4ed9f33c3422"
      },
      {
        "value": "9781608454921",
        "identifierTypeId": "8261054f-be78-422d-bd51-4ed9f33c3422"
      },
      {
        "value": "1608454924",
        "identifierTypeId": "fcca2643-406a-482a-b760-7a7f8aec640e"
      },
      {
        "value": "9781608454921",
        "identifierTypeId": "fcca2643-406a-482a-b760-7a7f8aec640e"
      },
      {
        "value": "9783031015519 (electronic bk.)",
        "identifierTypeId": "8261054f-be78-422d-bd51-4ed9f33c3422"
      },
      {
        "value": "3031015517 (electronic bk.)",
        "identifierTypeId": "8261054f-be78-422d-bd51-4ed9f33c3422"
      },
      {
        "value": "10.2200/S00268ED1V01Y201005AIM009 doi",
        "identifierTypeId": "2e8b3b6c-0e7d-4e48-bca2-b0b23b376af5"
      },
      {
        "value": "10.2200/S00268ED1V01Y201005AIM009",
        "identifierTypeId": "ebfd00b6-61d3-4d87-a6d8-810c941176d5"
      },
      {
        "value": "10.2200/S00268ED1V01Y201005AIM009",
        "identifierTypeId": "1795ea23-6856-48a5-a772-f356e16a8a6c"
      },
      {
        "value": "9781608454921",
        "identifierTypeId": "2e8b3b6c-0e7d-4e48-bca2-b0b23b376af5"
      },
      {
        "value": "9781608454921",
        "identifierTypeId": "ebfd00b6-61d3-4d87-a6d8-810c941176d5"
      },
      {
        "value": "9781608454921",
        "identifierTypeId": "1795ea23-6856-48a5-a772-f356e16a8a6c"
      },
      {
        "value": "10.1007/978-3-031-01551-9 doi",
        "identifierTypeId": "2e8b3b6c-0e7d-4e48-bca2-b0b23b376af5"
      },
      {
        "value": "10.1007/978-3-031-01551-9",
        "identifierTypeId": "ebfd00b6-61d3-4d87-a6d8-810c941176d5"
      },
      {
        "value": "10.1007/978-3-031-01551-9",
        "identifierTypeId": "1795ea23-6856-48a5-a772-f356e16a8a6c"
      },
      {
        "value": "(OCoLC)647995927",
        "identifierTypeId": "439bfbae-75bc-4f74-9fc7-b2a2d47ce3ef"
      },
      {
        "value": "(OCoLC)707877247",
        "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56"
      },
      {
        "value": "(OCoLC)785779112",
        "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56"
      },
      {
        "value": "(OCoLC)785947355",
        "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56"
      },
      {
        "value": "(OCoLC)861345348",
        "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56"
      },
      {
        "value": "(OCoLC)987457496",
        "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56"
      },
      {
        "value": "(OCoLC)1027305703",
        "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56"
      },
      {
        "value": "(OCoLC)1044286082",
        "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56"
      },
      {
        "value": "(OCoLC)1053120427",
        "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56"
      },
      {
        "value": "(OCoLC)1067055383",
        "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56"
      },
      {
        "value": "(OCoLC)1086525294",
        "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56"
      },
      {
        "value": "(OCoLC)1229610890",
        "identifierTypeId": "fc4e3f2a-887a-46e5-8057-aeeb271a4e56"
      },
      {
        "value": "(Sirsi) spocn647995927",
        "identifierTypeId": "7e591197-f335-4afb-bc6d-a6d76ca3bace"
      }
    ],
    "publication": [
      {
        "place": "Cham, Switzerland",
        "publisher": "Springer",
        "dateOfPublication": "©2010"
      }
    ],
    "contributors": [
      {
        "name": "Szepesvári, Csaba",
        "primary": true,
        "contributorTypeId": "9f0a2cf0-7a9b-45a2-a403-f68d2850d07c",
        "contributorNameTypeId": "2b94c631-fca9-4892-a730-03ee529ffe2a"
      }
    ],
    "catalogedDate": "2022-07-02",
    "staffSuppress": false,
    "instanceTypeId": "6312d172-f0cf-40f6-b27d-9fa8feaf332f",
    "previouslyHeld": false,
    "classifications": [
      {
        "classificationNumber": "Q325.6 .S94 2010",
        "classificationTypeId": "ce176ace-a53e-4b4d-aa89-725ed7b2edac"
      },
      {
        "classificationNumber": "006.31",
        "classificationTypeId": "42471af9-7d25-4f3a-bf78-60d29dcf463b"
      }
    ],
    "instanceFormats": [

    ],
    "electronicAccess": [
      {
        "uri": "https://link.springer.com/10.1007/978-3-031-01551-9",
        "name": "Resource",
        "linkText": "SpringerLink",
        "publicNote": "Available to Stanford-affiliated users",
        "relationshipId": "f5d0068e-6272-458e-8a81-b85e7b9a14aa"
      }
    ],
    "holdingsRecords2": [

    ],
    "modeOfIssuanceId": "9d18a02f-5897-4c31-9106-c9abb5c7ae8b",
    "publicationRange": [

    ],
    "statisticalCodes": [

    ],
    "alternativeTitles": [

    ],
    "discoverySuppress": false,
    "instanceFormatIds": [
      "f5e8210f-7640-459b-a71f-552567f92369"
    ],
    "publicationPeriod": {
      "start": 2010
    },
    "statusUpdatedDate": "2023-08-21T21:22:26.994+0000",
    "statisticalCodeIds": [

    ],
    "administrativeNotes": [

    ],
    "physicalDescriptions": [
      "1 online resource (xii, 89 pages) : illustrations"
    ],
    "publicationFrequency": [

    ],
    "suppressFromDiscovery": false,
    "natureOfContentTermIds": [

    ]
  },
  "holdingSummaries": [
    {
      "poLineId": null,
      "orderType": null,
      "orderStatus": null,
      "poLineNumber": null,
      "orderSentDate": null,
      "orderCloseReason": null,
      "polReceiptStatus": null
    }
  ]
}