Statistical Reinforcement Learning: Modern Machine Learning Approaches

This book by Prof. Masashi Sugiyama covers the range of reinforcement learning algorithms from a fresh, modern perspective. With a focus on the statistical properties of estimating parameters for reinforcement learning, the book relates a number of different approaches across the gamut of learning s...

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Bibliographic Details
Main Author: Sugiyama, Masashi 1974- (Author)
Format: Electronic eBook
Language:English
Published: Philadelphia, PA CRC Press 2015
Subjects:
Online Access:FWS01
FWS02
UER01
Summary:This book by Prof. Masashi Sugiyama covers the range of reinforcement learning algorithms from a fresh, modern perspective. With a focus on the statistical properties of estimating parameters for reinforcement learning, the book relates a number of different approaches across the gamut of learning scenarios.... It is a contemporary and welcome addition to the rapidly growing machine learning literature. Both beginner students and experienced researchers will find it to be an important source for understanding the latest reinforcement learning techniques.-Daniel D. Lee, GRASP Laboratory, School of Engineering and Applied Science, University of Pennsylvania
Item Description:Description based on publisher supplied metadata and other sources
Physical Description:1 online resource (206 pages)
ISBN:9781439856901
9781439856895