Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms

<p dir="ltr">The integration of unmanned aerial vehicles (UAVs) in the Industrial Internet of Things (IIoT) for smart city applications has been gaining significant attention. UAV swarms are increasingly employed to monitor ground-based IIoT devices in smart cities, offering valuable...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Marwan Dhuheir (19170898) (author)
مؤلفون آخرون:	Aiman Erbad (14150589) (author), Bechir Hamdaoui (22565315) (author), Samir Brahim Belhaouari (9427347) (author), Mohsen Guizani (12580291) (author), Thang X. Vu (22565318) (author)
منشور في:	2025
الموضوعات:	Information and computing sciences Artificial intelligence Distributed computing and systems software Machine learning Meta-reinforcement learning Industrial Internet of Things distributed resource optimization UAV swarms energy harvesting Autonomous aerial vehicles Reliability Resource management Data communication Surveillance Vectors Optimization Real-time systems Energy consumption
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Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms

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