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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| 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 |