Multi-Agent Deep Reinforcement Learning (MADRL)-Based End-to-End Formation Control for UAV Swarm with Dynamic Topology
While MADRL has demonstrated significant potential in Unmanned Aerial Vehicle (UAV) swarm control, traditional architectures often rely on fixed-dimensional observation spaces. This rigid structural constraint severely limits the swarm’s adaptability in dynamic environments, particularly when facing...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI AG
2026-07-01
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| Seria: | Applied Sciences |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.mdpi.com/2076-3417/16/13/6554 |
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