Energy-Efficient Online Path Planning of Multiple Drones Using Reinforcement Learning
IEEE Transactions on Vehicular Technology(2021)
摘要
Drones, typically unmanned aerial vehicles (UAVs), have many purposes. However, simultaneous operation of multiple drones is challenging, considering the real-time interactions and the environment; the drone must avoid collision with the other drones or obstacles. The proposed Advanced TD3 model performs energy-efficient path planning at the edge-level drone. We modify the twin-delayed deep determ...
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关键词
Drones,Path planning,Convergence,Real-time systems,Computational modeling,Training,Interference
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