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(Ebook) Statistical Reinforcement Learning: Modern Machine Learning Approaches by Masashi Sugiyama ISBN 9781439856895, 1439856893

  • SKU: EBN-5034778
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5.0

25 reviews
Instant download (eBook) Statistical Reinforcement Learning: Modern Machine Learning Approaches after payment.
Authors:Masashi Sugiyama
Pages:573 pages.
Year:2015
Editon:1
Publisher:Chapman and Hall/CRC
Language:english
File Size:11.55 MB
Format:pdf
ISBNS:9781439856895, 1439856893
Categories: Ebooks

Product desciption

(Ebook) Statistical Reinforcement Learning: Modern Machine Learning Approaches by Masashi Sugiyama ISBN 9781439856895, 1439856893

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 game players 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 RLm. The book provides a bridge between RL and data mining and machine learning research.
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