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

By: Sutton, Richard S [author.]Contributor(s): Barto, Andrew G [author.]Material type: TextTextLanguage: English Series: Adaptive computation and machine learningPublisher: Cambridge, Massachusetts : The MIT Press, [2018]Copyright date: ©2018Edition: Second editionDescription: xxii, 526 pages : illustrations ; 24 cmContent type: text Media type: computer Carrier type: online resourceISBN: 9780262352703 (eBook)Subject(s): Reinforcement learning | Reinforcement (Psychology)LOC classification: Q325.6 .R45 2018Subject: "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."-- Provided by publisher.
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Genel Koleksiyon Q 325.6 .R45 2018 (Browse shelf (Opens below)) Checked out 25.06.2025 0024369

Includes bibliographical references (pages 481-515) and index (pages

"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."-- Provided by publisher.