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|a Sutton, Richard S.,
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|9 31666
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|a Reinforcement learning :
|b an introduction /
|c Richard S. Sutton and Andrew G. Barto.
|
| 250 |
|
|
|a Second edition.
|
| 260 |
|
|
|a Cambridge, Massachusetts :
|b The MIT Press,
|c c2018
|
| 300 |
|
|
|a xxii, 526 pages :
|b illustrations (some color) ;
|c 23 cm.
|
| 490 |
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|a Adaptive computation and machine learning series
|
| 504 |
|
|
|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 Computer science.
|9 42479
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| 700 |
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|a Barto, Andrew G.,
|e author.
|9 31668
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| 852 |
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