Description: Statistical Reinforcement Learning : Modern Machine Learning Approaches, Hardcover by Sugiyama, Masashi, ISBN 1439856893, ISBN-13 9781439856895, Brand New, Free shipping in the US
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. Th provides a bridge between RL and data mining and machine learning research.
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Book Title: Statistical Reinforcement Learning : Modern Machine Learning Appr
Number of Pages: 206 Pages
Publication Name: Statistical Reinforcement Learning : Modern Machine Learning Approaches
Language: English
Publisher: CRC Press LLC
Item Height: 0.6 in
Subject: Programming / Games, Intelligence (Ai) & Semantics, Databases / Data Mining, Statistics
Publication Year: 2015
Type: Textbook
Item Weight: 19.2 Oz
Subject Area: Computers, Business & Economics
Author: Masashi Sugiyama
Item Length: 9.4 in
Series: Chapman and Hall/Crc Machine Learning and Pattern Recognition Ser.
Item Width: 6.3 in
Format: Hardcover
