Cargando…
The Design of Sports Games under the Internet of Things Fitness by Deep Reinforcement Learning
This study explores the application of deep reinforcement learning (DRL) in the Internet of Things (IoT) sports game design. The fundamentals of DRL are deeply understood by investigating the current state of IoT fitness applications and the most popular sports game design architectures. The researc...
Autores principales: | Wang, Xiangyu, Liu, Chao, Sun, Laishuang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9113903/ https://www.ncbi.nlm.nih.gov/pubmed/35592720 http://dx.doi.org/10.1155/2022/4623561 |
Ejemplares similares
-
Retracted: The Design of Sports Games under the Internet of Things Fitness by Deep Reinforcement Learning
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
Design of Motion Detection Device in Sports Based on Deep Learning of Internet of Things
por: Li, Shaolong, et al.
Publicado: (2022) -
Retracted: Design of Motion Detection Device in Sports Based on Deep Learning of Internet of Things
por: Intelligence and Neuroscience, Computational
Publicado: (2023) -
Video Analysis and System Construction of Basketball Game by Lightweight Deep Learning under the Internet of Things
por: Yang, Tianyu, et al.
Publicado: (2022) -
Energy Conservation for Internet of Things Tracking Applications Using Deep Reinforcement Learning
por: Sultan, Salman Md, et al.
Publicado: (2021)