From shortest paths to reinforcement learning : a MATLAB-based tutorial on dynamic programming
著者
書誌事項
From shortest paths to reinforcement learning : a MATLAB-based tutorial on dynamic programming
（Euro advanced tutorials on operational research / series editors, M. Grazia Speranza, José Fernando Oliveira）
Springer nature, 2021
- : [hbk.]
大学図書館所蔵 全4件
注記
includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
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.
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