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Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto.

By: Contributor(s): Material type: TextSeries: Adaptive computation and machine learning seriesPublication details: England: The MIT Press 2020Edition: Second editionDescription: xxii, 526 pages : illustrations (some color) ; 24 cmISBN:
  • 9780262039246
Subject(s): DDC classification:
  • 006.31 23 S9671r
Summary: "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."--
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Holdings
Item type Current library Call number Vol info Copy number Status Barcode
Books Library, Independent University, Bangladesh (IUB) General Stacks 006.31 S9671r (Browse shelf(Opens below)) 2020 01 Available 029882
Books Library, Independent University, Bangladesh (IUB) Reference Stacks 006.31 S9671r (Browse shelf(Opens below)) 2020 02 Not For Loan 029883
Total holds: 0

Includes bibliographical references (pages 481-518) and index.

"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."--

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