Research on Intelligent Maneuvering Decision-Making in Close Air Combat Based on Deep Q Network
Aiming at the problem of UCAV maneuvering decision-making in close air combat, the design of reinforcement learning reward function and the selection of hyper-parameters are studied based on the framework of deep Q network algorithm. For the sparse reward problem in reinforcement learning, an auxili...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Aero Weaponry
2023-06-01
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| Series: | Hangkong bingqi |
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| Online Access: | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2022-00251.pdf |