Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto.
Material type:
TextSeries: Adaptive computation and machine learning seriesEdition: Second editionDescription: xxii, 526 pages : illustrations (some color) ; 24 cmISBN: - 9780262039246 (hardcover : alk. paper)
- 006.31 sut-bar 23
- Q325.6 .R45 2018
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Goa University Library General Stacks | 006.31 SUT-BAR (Browse shelf(Opens below)) | Available | 188996 |
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| 006.31 STA/Sta The statquest Illustrated guide to machine learning | 006.31 SUG/Sta Statistical reinforcement learning :modern machine learning approaches | 006.31 SUT-BAR Reinforcement Learning an Introduction | 006.31 SUT-BAR Reinforcement learning : an introduction / | 006.31 ZAC/Get Getting Started with TensorFlow | 006.31 ZHO / Mac Machine Learning | 006.31 ZHO/Ens Ensemble methods: foundations and algorithms |
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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