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- 206 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
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About This Book
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
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Yes, you can access Statistical Reinforcement Learning by Masashi Sugiyama in PDF and/or ePUB format, as well as other popular books in Economics & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.
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Table of contents
- Cover
- Contents
- Foreword
- Preface
- Author
- Part I: Introduction
- Part II: Model-Free Policy Iteration
- Part III: Model-Free Policy Search
- Part IV: Model-Based Reinforcement Learning
- References