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Statistical Reinforcement Learning

By Masashi Sugiyama

Statistical Reinforcement Learning Law

Statistical Reinforcement Learning

By Masashi Sugiyama

0 - Default Title
Description
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.
Product details
Edition:
illustrated
Number of Pages:
208
Release Date:
2015-03-16
Publication Date:
2015-03-16
Publisher:
Chapman and Hall/CRC
Languages:
Original: English
ISBN10:
1439856893
ISBN13:
9781439856895
GPSR Manufacturer Reference:
[email protected]
Weight:
482 g
Height:
161 cm
Width:
240 cm
Thickness:
16 cm
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