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Statistical Reinforcement Learning
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Statistical Reinforcement Learning eBook

Modern Machine Learning Approaches

by Masashi Sugiyama
Book eBook
language: english
Publisher: CRC PRESS, March of 2015 ‧
63,59€
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Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and gaming have been successfully explored in recent years. Providing an accessible introduction to the field, this book covers model-based and model-free approaches, policy iteration, and policy search methods. It presents illustrative examples and state-of-the-art results, including dimensionality reduction in RL and risk-sensitive RL. The book provides a bridge between RL and data mining and machine learning research.

Statistical Reinforcement Learning

Modern Machine Learning Approaches

by Masashi Sugiyama

Property Description
ISBN: 9781040058152
Publisher: CRC PRESS
Release Date: March of 2015
Language: English
Format: eBook
File Format and Compatibility:
Collection: Chapman & Hall/Crc Machine Learning & Pattern Recognition
Categories: eBooks in English > Science > Mathematics
eBooks in English > Economics, Finance and Accounting > Economy
EAN: 9781040058152
Acessibilidade: Ver características de acessibilidade indicadas pelo editor

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