Estimating the effect of hitting strategies in baseball using counterfactual virtual simulation with deep learning
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
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 times per year
Keywords:
Related subjects:
© 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.