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Statistical Reinforcement Learning: Modern Machine Learning Approaches (Chapman & Hall/Crc Machine Learning & Pattern Recognition)

Masashi Sugiyama




[PDF.wu03] Statistical Reinforcement Learning: Modern Machine Learning Approaches (Chapman & Hall/Crc Machine Learning & Pattern Recognition)

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 | #1461346 in Books |  2015-03-16 | Original language:English | PDF # 1 |  9.30 x.70 x6.10l,.0 | File type: PDF | 206 pages

||0 of 0 people found the following review helpful.| It shows different approaches for reinforcement learning and the chapters are easy to understand|By david v|This book is very interesting. It shows different approaches for reinforcement learning and the chapters are easy to understand.| ||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 differ

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 amounts of data.

Supplying an up-to-date and accessible introduction to the field, Statistical Reinforcement Learni...

You can specify the type of files you want, for your device.Statistical Reinforcement Learning: Modern Machine Learning Approaches (Chapman & Hall/Crc Machine Learning & Pattern Recognition)   |  Masashi Sugiyama. I really enjoyed this book and have already told so many people about it!

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