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

Evaluating the performance of players in a dynamic competition is vital for achieving effective sports coaching. However, a quantitative evaluation of players in racket sports is difficult because it is derived from the integration of complex tactical and technical (i.e., whole-body movement) perfor...

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Bibliographic Details
Main Authors: Ning Ding, Kazuya Takeda, Keisuke Fujii
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9775086/