Reinforcement learning : an introduction / Richard S. Sutton and Andrew G. Barto.

By: Sutton, Richard SContributor(s): Barto, Andrew G, 1948-Material type: TextTextSeries: Adaptive computation and machine learningCambridge ; London : The MIT Press, 2020Edition: Second editionDescription: xxii, 526 páginas : ilustraciones, gráficas ; 23 cmISBN: 9780262039246Subject(s): Aprendizaje automático (Inteligencia artificial) | Aprendizaje por refuerzo (Aprendizaje automático) | Bioinformática | Inteligencia artificial | Método de MontecarloDDC classification: 006.3
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006.3 S967R 2020 (Browse shelf(Opens below)) Ej. 1 Available (Acceso Disponible) 39983002291562

Incluye referencias bibliográficas (481-518 páginas) e índice.

Multi-arm bandits -- Finite Markov decision processes -- Dynamic programming -- Monte Carlo methods -- Temporal-difference learning -- Eligibility traces -- Planning and learning with tabular methods -- On-policy approximation of action values -- Pff-policy approximation of action values -- Policy approximation ? Psychology ? Neuroscience -- Applications and case studies -- Prospects.

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NEW-006-22

NEW-MAY-22

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