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Autonomous maneuver decision-making method based on reinforcement learning and Monte Carlo tree search

Autonomous maneuver decision-making methods for air combat often rely on human knowledge, such as advantage functions, objective functions, or dense rewards in reinforcement learning, which limits the decision-making ability of unmanned combat aerial vehicle to the scope of human experience and resu...

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Detalles Bibliográficos
Autores principales: Zhang, Hongpeng, Zhou, Huan, Wei, Yujie, Huang, Changqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9640421/
https://www.ncbi.nlm.nih.gov/pubmed/36386393
http://dx.doi.org/10.3389/fnbot.2022.996412