JSAI2020

Presentation information

General Session

General Session » J-2 Machine learning

[2J4-GS-2] Machine learning: Deep reinforcement learning

Wed. Jun 10, 2020 1:50 PM - 3:30 PM Room J (jsai2020online-10)

座長:中村友昭(電気通信大学)

3:10 PM - 3:30 PM

[2J4-GS-2-05] Research on American Football Coaching Strategy Using Deep Reinforcement Learning

〇Risa Takayanagi1, Dinesh Malla 1,2, Tsuyoshi Sakai1, Tomah Sogabe1,2 (1. UEC, 2. Grid Inc.)

Keywords:Deep reinforcement learning, american football, Coaching

In recent years, with the development of information processing technology and image processing technology, the utilization of data and the introduction of AI technology have been actively performed in the sports world. The purpose of this work is to propose a reinforcement learning-based coaching framework in American football, which is a game of complex strategy and tactics. In this paper, we examined tactical prediction and strategy optimization by Q-leaning simulation, and various issues were examined in order to make it closer to the actual match in the future.

Authentication for paper PDF access

A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.

Password