株式会社極東書店トップ商品一覧From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming. 2021 ed.

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From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming. 2021 ed.

From Shortest Paths to Reinforcement Learning: A MATLAB-Based Tutorial on Dynamic Programming. 2021 ed.

・ISBN 978-3-030-61866-7 hard EUR 99.99

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お気に入り
著者・編者Brandimarte, Paolo,
シリーズ (EURO Advanced Tutorials on Operational Research)
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2021
ページ数207 pp.
言語ENG
ニュース番号<A03-591>

解説

Dynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool. This book fills a gap between the statement of DP principles and their actual software implementation. Using MATLAB throughout, this tutorial gently gets the reader acquainted with DP and its potential applications, offering the possibility of actual experimentation and hands-on experience. The book assumes basic familiarity with probability and optimization, and is suitable to both practitioners and graduate students in engineering, applied mathematics, management, finance and economics.