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20172026
most citedRisk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach

65 citations · 108 across the 5 of their papers we have counts for

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eess.SP2020

Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach

Sarder Fakhrul Abedin, Md. Shirajum Munir, Nguyen H. Tran +2

In this paper, we design a navigation policy for multiple unmanned aerial vehicles (UAVs) where mobile base stations (BSs) are deployed to improve the data freshness and connectivi…