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OverviewFull Product DetailsAuthor: Christopher GattiPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: Softcover reprint of the original 1st ed. 2015 Dimensions: Width: 15.50cm , Height: 1.10cm , Length: 23.50cm Weight: 3.226kg ISBN: 9783319385518ISBN 10: 3319385518 Pages: 191 Publication Date: 22 September 2016 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- Reinforcement Learning. Design of Experiments.- Methodology.- The Mountain Car Problem.- The Truck Backer-Upper Problem.- The Tandem Truck Backer-Upper Problem.- Appendices.ReviewsAuthor InformationChristopher 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. Tab Content 6Author Website:Countries AvailableAll regions |