人工知能学会第二種研究会資料
Online ISSN : 2436-5556
Q学習を用いたゴルフデータ分析に関する研究
塩治 龍三朗
著者情報
研究報告書・技術報告書 フリー

2014 年 2014 巻 DOCMAS-007 号 p. 04-

詳細
抄録

Golf is a sport played all over the world and many people practice to improve their score. There is an index called Strokes Gained Status that is used in the PGA to analyze golfer's data. This index uses massive detailed golf data and compares them with an individual golfer's data. One of the advantages of this index is that it is possible to find detailled points of improvement of a golfer. However, the problem with this index is that there is a need to collect large number of detailed golf data at specific golf course. In our research, we applied Q-learning to a golf simulation model to obtain expected score of any golfer at any golf course. We showed that using this method, it is possible to analyze golf data with the Strokes Gained Status with any skill or any course.

著者関連情報
© 2014 著作者
前の記事 次の記事
feedback
Top