Reinforcement learning : an introduction /

"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, Richar...

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Detalhes bibliográficos
Principais autores: Sutton, Richard S. (Autor), Barto, Andrew G. (Autor)
Formato: Livro
Idioma:English
Publicado em: Cambridge, Massachusetts : The MIT Press, c2018
Edição:Second edition.
coleção:Adaptive computation and machine learning series
Assuntos:
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260 |a Cambridge, Massachusetts :  |b The MIT Press,  |c c2018 
300 |a xxii, 526 pages :  |b illustrations (some color) ;  |c 23 cm. 
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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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