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From shortest paths to reinforcement learning a MATLAB-based tutorial on dynamic programming / [electronic resource] :
- 作者: Brandimarte, Paolo.
- 其他作者:
- 其他題名:
- EURO advanced tutorials on operational research.
- 出版: Cham : Springer International Publishing :Imprint: Springer
- 叢書名: EURO advanced tutorials on operational research,
- 主題: Dynamic programming. , Operations research--Methodology. , Management science--Methodology. , Operations Research/Decision Theory. , Operations Research, Management Science. , Economic Theory/Quantitative Economics/Mathematical Methods. , Numerical Analysis. , Quantitative Finance. , Engineering Economics, Organization, Logistics, Marketing. , MATLAB.
- ISBN: 9783030618674 (electronic bk.) 、 9783030618667 (paper)
- FIND@SFXID: CGU
- 資料類型: 電子書
- 內容註: The dynamic programming principle -- Implementing dynamic programming -- Modeling for dynamic programming -- Numerical dynamic programming for discrete states -- Approximate dynamic programming and reinforcement learning for discrete states -- Numerical dynamic programming for continuous states -- Approximate dynamic programming and reinforcement learning for continuous states.
- 摘要註: 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.
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讀者標籤:
- 系統號: 005543166 | 機讀編目格式
館藏資訊
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.
資料來源:
Google Book
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