Deep Reinforcement Learning in a Racket Sport for Player Evaluation With Technical and Tactical Contexts-Reference-Cited by-同舟云学术

Deep Reinforcement Learning in a Racket Sport for Player Evaluation With Technical and Tactical Contexts

Published:2022 Issue: Volume:10 Page:54764-54772
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ding Ning¹^ORCID,Takeda Kazuya¹^ORCID,Fujii Keisuke¹^ORCID

Affiliation:

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

Funder

Japan Society for the Promotion of Science (JSPS) KAKENHI

Japan Science and Technology Agency (JST) Presto

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09775086.pdf?arnumber=9775086

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