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

By: Contributor(s): Material type: TextTextSeries: Adaptive computation and machine learning seriesPublication details: Cambridge MIT PressEdition: Second editionDescription: xxii, 526 pages : illustrations (some color)ISBN:
  • 9780262039246
Subject(s): DDC classification:
  • 006.31 23 SUT/R
Other classification:
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 Home library Call number Status Date due Barcode
Book Book Dept. of Optoelectronics Dept. of Optoelectronics 006.31 SUT/R (Browse shelf(Opens below)) Available DOP3631

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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