Statistical Reinforcement Learning: Modern Machine Learning...

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Statistical Reinforcement Learning:...

Statistical Reinforcement Learning: Modern Machine Learning Approaches

Name: Statistical Reinforcement Learning: Modern Machine Learning Approaches
ISBN: 9781439856895

Masashi Sugiyama

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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 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.

种类:

Computers - Computer Science
Computers - Cybernetics

年:

2015

出版:

出版社:

Chapman and Hall/CRC

语言:

english

页:

573

ISBN 10: