An Exoatmospheric Homing Guidance Law Based on Deep Q Network
A homing guidance law for exoatmospheric interceptor based on the Deep Q Network (DQN) algorithm is proposed in this paper. Aiming at the exoatmospheric interception problem, the guidance agent is built with the help of the deep reinforcement learning theory, and the action command is given accordin...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2022-01-01
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| coleção: | International Journal of Aerospace Engineering |
| Acesso em linha: | http://dx.doi.org/10.1155/2022/1544670 |
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