Intelligent air defense task assignment based on hierarchical reinforcement learning

Modern air defense battlefield situations are complex and varied, requiring high-speed computing capabilities and real-time situational processing for task assignment. Current methods struggle to balance the quality and speed of assignment strategies. This paper proposes a hierarchical reinforcement...

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Detalles Bibliográficos
Autores principales: Liu, Jia-yi, Wang, Gang, Guo, Xiang-ke, Wang, Si-yuan, Fu, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751183/
https://www.ncbi.nlm.nih.gov/pubmed/36531921
http://dx.doi.org/10.3389/fnbot.2022.1072887

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9751183/
https://www.ncbi.nlm.nih.gov/pubmed/36531921
http://dx.doi.org/10.3389/fnbot.2022.1072887

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