Construction of a Parallel Training Environment Model for Multi-Agent Deep Reinforcement Learning in Far-Sea Aerial Confrontation
The quality of the environment model determines whether the deep reinforcement learning system can efficiently and accurately learn and train to make good decisions. Aiming at the problems of idealized air combat environment construction and task scenarios in the context of far-sea and remote combat...
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| Format: | Article |
| Language: | zho |
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Editorial Office of Aero Weaponry
2025-06-01
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| Series: | Hangkong bingqi |
| Subjects: | |
| Online Access: | https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2025-0020.pdf |
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