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...

Full description

Bibliographic Details
Call Number:Libro Electrónico
Main Author: Sugiyama, Masashi, 1974- (Author)
Format: Electronic eBook
Language:Inglés
Published: Boca Raton, FL : CRC Press, [2015]
Series:Chapman & Hall/CRC machine learning & pattern recognition series.
Subjects:
Reinforcement learning.
Machine learning > Mathematical models.
Apprentissage par renforcement (Intelligence artificielle)
Apprentissage automatique > Modèles mathématiques.
Statistics
Statistics.
Statistiques.
Online Access:Texto completo (Requiere registro previo con correo institucional)

Internet

Texto completo (Requiere registro previo con correo institucional)

Items no disponibles

Holdings details from

Similar Items