Control Systems and Reinforcement Learning

Language: English

Published by Cambridge University Press, 2022

1316511960 / 9781316511961

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of 'deep' or 'Q', or why the code sometimes fails. This book is designed to explain the science behind reinforcement learning and optimal control in a way that is accessible to students with a background in calculus and matrix algebra. A unique focus is algorithm design to obtain the fastest possible speed of convergence for learning algorithms, along with insight into why reinforcement learning sometimes fails. Advanced stochastic process theory is avoided at the start by substituting random exploration with more intuitive deterministic probing for learning. Once these ideas are understood, it is not difficult to master techniques rooted in stochastic control. These topics are covered in the second part of the book, starting with Markov chain theory and ending with a fresh look at actor-critic methods for reinforcement learning.…

Seller Inventory # 9781316511961

Title
Control Systems and Reinforcement Learning
Author
Sean Meyn
Publisher
Cambridge University Press
Publication year
2022
Condition
Neu
Binding
Buch
Language
English
ISBN 10
1316511960
ISBN 13
9781316511961
Item weight
1,039 grams
Dimensions
260x183x29 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 47.94US$ 65.17
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