Statistical Reinforcement Learning /

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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Bibliographic Details

Main Author:	Sugiyama, Masashi (Author)
Corporate Author:	Safari, an O'Reilly Media Company
Format:	eBook
Language:	English
Published:	CRC Press, 2015.
Edition:	1st edition.
Subjects:	Electronic books.
Online Access:	Connect to this electronic resource