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J-GLOBAL ID:201902240866005159   Reference number:19A1328175

A DYNAMIC PROGRAMMING ALGORITHM FOR OPTIMIZING BASEBALL STRATEGIES

野球戦略を最適化するための動的計画アルゴリズム
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Volume: 62  Issue:Page: 64-82(J-STAGE)  Publication year: 2019 
JST Material Number: G0402A  ISSN: 0453-4514  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
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Operations research in general 
Reference (35):
  • [1] K. Ano: Modified offensive earned-run average with steal effect for baseball. Applied Mathematics and Computation, 120 (2001), 279-288.
  • [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] 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] K. Boda and J.A. Filar: Time consistent dynamic risk measures. Mathematical Methods of Operations Research, 63 (2006), 169-186.
  • [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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