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Reinforcement Learning Based Topology Control for UAV Networks

Engineering and Technology

Reinforcement Learning Based Topology Control for UAV Networks

T. Yoo, S. Lee, et al.

This research, conducted by Taehoon Yoo, Sangmin Lee, Kyeonghyun Yoo, and Hwangnam Kim, introduces a cutting-edge reinforcement learning system for optimizing UAV network connectivity. By focusing on UAV positions, interference, and energy use, this study reshapes network structure efficiently using DDPG, showcasing significant effectiveness across various topologies.

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