Statistical reinforcement learning :modern machine learning approaches Masashi Sugiyama, University of Tokyo, Tokyo, Japan.

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Material type: Text

TextSeries: Chapman & Hall/CRC machine learning & pattern recognition seriesPublication details: Boca Raton: CRC Press; 2015Description: xiii, 192 pages : illustrations ; 25 cmISBN:

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Contents:

1. Introduction -- 2. Model-free policy iteration -- 3. Model-free policy search -- 4. Model-based reinforcement learning.

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Item type	Current library	Call number	Status	Date due	Barcode
Books	Goa University Library General Stacks	006.31 SUG/Sta (Browse shelf(Opens below))	Available		160005

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Previous	006.31 SHA-BEN Understanding machine learning: from theory to algorithms	006.31 SRA/Opt Optimization for machine learning	006.31 STA/Sta The statquest Illustrated guide to machine learning	006.31 SUG/Sta Statistical reinforcement learning :modern machine learning approaches	006.31 SUT-BAR Reinforcement Learning an Introduction	006.31 SUT-BAR Reinforcement learning : an introduction /	006.31 ZAC/Get Getting Started with TensorFlow	Next

Includes bibliographical references and index.

1. Introduction -- 2. Model-free policy iteration -- 3. Model-free policy search -- 4. Model-based reinforcement learning.

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