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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |