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Statistical Reinforcement Learning
DOI link for Statistical Reinforcement Learning
Statistical Reinforcement Learning book
Modern Machine Learning Approaches
Statistical Reinforcement Learning
DOI link for Statistical Reinforcement Learning
Statistical Reinforcement Learning book
Modern Machine Learning Approaches
ByMasashi Sugiyama
Edition 1st Edition
First Published 2015
eBook Published 12 March 2015
Pub. Location New York
Imprint Chapman and Hall/CRC
Pages 206
eBook ISBN 9780429105364
Subjects Computer Science, Mathematics & Statistics
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Sugiyama, M. (2015). Statistical Reinforcement Learning: Modern Machine Learning Approaches (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/b18188
ABSTRACT
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 decision making in unknown environments with large amo
TABLE OF CONTENTS
part 1|2 pages
Part I: Introduction
part 2|2 pages
Part II: Model-Free Policy Iteration
part 3|2 pages
Part III: Model-Free Policy Search
part 4|2 pages
Part IV: Model-Based Reinforcement Learning
