Hierarchical Reinforcement Learning Framework in Geographic Coordination for Air Combat Tactical Pursuit

This paper proposes an air combat training framework based on hierarchical reinforcement learning to address the problem of non-convergence in training due to the curse of dimensionality caused by the large state space during air combat tactical pursuit. Using hierarchical reinforcement learning, th...

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Detalles Bibliográficos
Autores principales: Chen, Ruihai, Li, Hao, Yan, Guanwei, Peng, Haojie, Zhang, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606649/
https://www.ncbi.nlm.nih.gov/pubmed/37895530
http://dx.doi.org/10.3390/e25101409

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606649/
https://www.ncbi.nlm.nih.gov/pubmed/37895530
http://dx.doi.org/10.3390/e25101409

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