Reinforcement Learning : :: SCD d'Orléans

Reinforcement Learning : State-of-the-Art

Reinforcement Learning : State-of-the-Art

Reinforcement learning encompasses both a science of adaptive behavior of rational beings in uncertain environments and a computational methodology for finding optimal behaviors for challenging problems in control, optimization and adaptive behavior of intelligent agents. As a field, reinforcement l...

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Dades bibliogràfiques
Autors principals:	Wiering, Marco, Otterlo, Martijn (Autor)
Altres autors:	van Otterlo, Martijn (Editor)
Format:	Livre numérique
Idioma:	Anglais
Publicat:	Berlin, Heidelberg : Springer Berlin Heidelberg 2012. Cham : Springer Nature
Edició:	1st ed. 2012.
Col·lecció:	Adaptation, Learning, and Optimization 12
Accés en línia:	Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL
Nota:	Numérisation de l'édition de Springer La pagination de l'édition imprimée correspondante est de : XXXIV-638 p. lectorat : scientifique Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale)
Autres localisations:	Voir dans le Sudoc
Edition sous un autre format:	• Reinforcement learning, state-of-the-art, Marco Wiering and Martijn van Otterlo (eds.), Heidelberg, Springer, 2012, 1 volume (xxxiv-638 pages), Adaptation, learning, and optimization, 978-3-642-27644-6 • Reinforcement Learning, Texte imprimé, 9783642446856 • Reinforcement Learning, Texte imprimé, 9783642276460

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