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Estimating the effect of hitting strategies in baseball using counterfactual virtual simulation with deep learning Cover

Estimating the effect of hitting strategies in baseball using counterfactual virtual simulation with deep learning

International Journal of Computer Science in Sport
Volume 22 (2023): Issue 1 (March 2023)
By: ,   and    
Open Access
|Jan 2023
Authors

Authors

Hiroshi Nakahara

Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan

Kazuya Takeda

Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan

Keisuke Fujii

Graduate School of Informatics, Nagoya University, Nagoya, Aichi, Japan
RIKEN Center for Advanced Intelligence Project, Fukuoka, Fukuoka, Japan
PRESTO, Japan Science and Technology Agency, Kawaguchi, Saitama, Japan
DOI: https://doi.org/10.2478/ijcss-2023-0001 | Journal eISSN: 1684-4769
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Language: English
Page range: 1 - 12
Published on: Jan 17, 2023
Published by: International Association of Computer Science in Sport
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
BASEBALL,
SIMULATION,
MACHINE LEARNING,
COUNTERFACTUAL
Related subjects:
Computer sciences,
Databases and data mining,
Computer sciences, other,
Sports and recreation,
Physical education,
Sports and recreation, other

© 2023 Hiroshi Nakahara, Kazuya Takeda, Keisuke Fujii, published by International Association of Computer Science in Sport
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 22 (2023): Issue 1 (March 2023)
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