Design of Experiments for Reinforcement Learning
Author:   Christopher Gatti
Publisher:   Springer International Publishing AG
Edition:   2015 ed.
ISBN:  

9783319121963


Pages:   191
Publication Date:   08 December 2014
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Design of Experiments for Reinforcement Learning


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Author:   Christopher Gatti
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2015 ed.
Dimensions:   Width: 15.50cm , Height: 1.30cm , Length: 23.50cm
Weight:   0.483kg
ISBN:  

9783319121963


ISBN 10:   3319121960
Pages:   191
Publication Date:   08 December 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Reinforcement Learning. Design of Experiments.- Methodology.- The Mountain Car Problem.- The Truck Backer-Upper Problem.- The Tandem Truck Backer-Upper Problem.- Appendices.

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Author Information

Christopher Gatti received his PhD in Decision Sciences and Engineering Systems from Rensselaer Polytechnic Institute (RPI). During his time at RPI, his work focused on machine learning and statistics, with applications in reinforcement learning, graph search, stem cell RNA analysis, and neuro-electrophysiological signal analysis. Prior to beginning his graduate work at RPI, he received a BSE in mechanical engineering and an MSE in biomedical engineering, both from the University of Michigan. He then continued to work at the University of Michigan for three years doing computational biomechanics focusing on the shoulder and knee. He has been a gymnast since he was a child and is currently an acrobat for Cirque du Soleil.

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