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|a 9780262039246 (hardcover : alk. paper)
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|a Sutton, Richard S.,
|e author.
|9 31666
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|a Reinforcement learning :
|b an introduction /
|c Richard S. Sutton and Andrew G. Barto.
|
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|
|
|a Second edition.
|
260 |
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|a Cambridge, Massachusetts :
|b The MIT Press,
|c c2018
|
300 |
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|a xxii, 526 pages :
|b illustrations (some color) ;
|c 23 cm.
|
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|a Adaptive computation and machine learning series
|
504 |
|
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|a Includes bibliographical references (pages [481]-518) and index.
|
520 |
|
|
|a "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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|a Reinforcement learning.
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|a Computer science.
|9 42479
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|a Barto, Andrew G.,
|e author.
|9 31668
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|a Ayesha Abed Library
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