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...
| Otros Autores: | , |
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| Formato: | Libro |
| Idioma: | Inglés |
| Publicado: |
Cambridge, Massachusetts :
The MIT Press
[2018]
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| Edición: | Second edition |
| Colección: | Adaptive computation and machine learning
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| Materias: | |
| Ver en Universidad de Deusto: | https://oceano.biblioteca.deusto.es/primo-explore/search?query=any,contains,991006802972303351&tab=default_tab&search_scope=deusto_alma&vid=deusto |
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| Sumario: | "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."--Sitio web del editor. |
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| Descripción Física: | XXII, 526 páginas : gráficos (blanco y negro y color) ; 24 cm |
| Bibliografía: | Bibliografía: páginas 481-518. Índice. |
| ISBN: | 9780262039246 9798390493533 |
