A DYNAMIC PROGRAMMING ALGORITHM FOR OPTIMIZING BASEBALL STRATEGIES-Reference-Cited by-同舟云学术

A DYNAMIC PROGRAMMING ALGORITHM FOR OPTIMIZING BASEBALL STRATEGIES

Published:2019-04-25 Issue:2 Volume:62 Page:64-82
ISSN:0453-4514
Container-title:Journal of the Operations Research Society of Japan
language:en
Short-container-title:JORSJ

Author:

Kira Akifumi¹,Inakawa Keisuke²,Fujita Toshiharu³

Affiliation:

1. Gunma University

2. Akita Prefectural University

3. Kyushu Institute of Technology

Publisher

The Operations Research Society of Japan

Subject

Management Science and Operations Research,General Decision Sciences

Link

https://www.jstage.jst.go.jp/article/jorsj/62/2/62_64/_pdf

Reference33 articles.

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2. [2] R. Bellman: Dynamic Programming and Markovian Decision Processes, with Application to Baseball. In S.P. Ladany and R.E. Macol (eds.): Optimal Strategies in Sports (Elsevier-North Holland, New York, 1977), 77–85.

3. [3] K. Boda, J.A. Filar, Y. Lin, and L. Spanjers: Stochastic target hitting time and the problem of early retirement. IEEE Transactions on Automatic Control, 49-3 (2004), 409–419.

4. [4] K. Boda and J.A. Filar: Time consistent dynamic risk measures. Mathematical Methods of Operations Research, 63 (2006), 169–186.

5. [5] M. Bouakiz and Y. Kebir: Target-level criterion in Markov decision processes. Journal of Optimization Theory and Applications, 86, (1995), 1–15.

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