A Bio-Inspired Decision-Making Method of UAV Swarm for Attack-Defense Confrontation via Multi-Agent Reinforcement Learning

The unmanned aerial vehicle (UAV) swarm is regarded as having a significant role in modern warfare. The demand for UAV swarms with the capability of attack-defense confrontation is urgent. The existing decision-making methods of UAV swarm confrontation, such as multi-agent reinforcement learning (MA...

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Detalles Bibliográficos
Autores principales: Chi, Pei, Wei, Jiahong, Wu, Kun, Di, Bin, Wang, Yingxun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296010/
https://www.ncbi.nlm.nih.gov/pubmed/37366817
http://dx.doi.org/10.3390/biomimetics8020222

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10296010/
https://www.ncbi.nlm.nih.gov/pubmed/37366817
http://dx.doi.org/10.3390/biomimetics8020222

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