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Statistical Reinforcement Learning: Modern Machine Learning Approaches
Hardcover
Series: Chapman & Hall/CRC Machine Learning & Pattern Recognition
Business GeneralDatabasesGeneral Computers
ISBN13: 9781439856895
Publisher: Crc Pr Inc
Published: Apr 15 2015
Pages: 206
Weight: 0.92
Height: 0.70 Width: 6.10 Depth: 9.30
Language: English
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.
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