rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Reinforcement learning
    sub title: an introduction
  name:
    name part: Sutton, Richard S.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Barto, Andrew G.
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  origin info:
    place:
      place term: mau
    date issued: 2018
    copyright date: 2018
    edition: Second edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: xxii, 526 pages : illustrations ; 24 cm.
  abstract: Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms.
  note: Richard S. Sutton and Andrew G. Barto.
  note: Includes bibliographical references (pages [481]-518) and index.
  subject:
    topic: Reinforcement learning
  classification: Q325.6 .R45 2018
  classification: 006.3/1
  related item:
    title info:
      title: Adaptive computation and machine learning
  identifier: 9780262039246
  identifier: 0262039249
  identifier: 2018023826
  record info:
    record content source: DLC
    record creation date: 180525
    record change date: 20200616084002.0
    record identifier: in00004014262