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Mar, 2020
基于联邦学习与均场博弈理论的高效大规模无人机在线路径控制
Communication-Efficient Massive UAV Online Path Control: Federated Learning Meets Mean-Field Game Theory
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Hamid Shiri, Jihong Park, Mehdi Bennis
TL;DR
本研究探讨了使用均场博弈框架操控无人机群的方法,借助神经网络进行函数近似和联邦学习,实现了无人机群的协同控制,并通过模拟实验验证了其性能。
Abstract
This paper investigates the control of a massive population of
uavs
such as drones. The straightforward method of control of
uavs
by considering the interactions among them to make a flock requires a huge inter-U
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