Statistical reinforcement learning : modern machine learning approaches

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Statistical reinforcement learning modern machine learning approaches

Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions. With numerous successful applications in business intelligence, plant control, and gaming, the RL framework is ideal for deci...

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Detalles Bibliográficos
Otros Autores:	Sugiyama, Masashi, 1974, author (author)
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Boca Raton, Florida : CRC Press [2015]
Edición:	1st edition
Colección:	Chapman & Hall/CRC machine learning & pattern recognition series.
Materias:	Reinforcement learning.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628944706719

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