Trajectory Control and Fair Communications for Multi-UAV Networks: A Federated Multi-Agent Deep Reinforcement Learning Approach

Research article (IEEE Transactions on Wireless Communications, 2025) · cited 14× · AI/ML
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Trajectory Control and Fair Communications for Multi-UAV Networks: A Federated Multi-Agent Deep Reinforcement Learning Approach

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Trajectory Control and Fair Communications for Multi-UAV Networks: A Federated Multi-Agent Deep Reinforcement Learning Approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Trajectory Control and Fair Communications for Multi-UAV Networks: A Federated Multi-Agent Deep Reinforcement Learning Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/trajectory-control-and-fair-communications-for-multi-uav-networks-a-federated-multi-agent-deep-reinforcement-learning-ap
MLA “Trajectory Control and Fair Communications for Multi-UAV Networks: A Federated Multi-Agent Deep Reinforcement Learning Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/trajectory-control-and-fair-communications-for-multi-uav-networks-a-federated-multi-agent-deep-reinforcement-learning-ap.
BibTeX @misc{4ortxyz_trajectory-control-and-fair-communications-for-multi-uav-networks-a-federated-multi-agent-deep-reinforcement-learning-ap_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Trajectory Control and Fair Communications for Multi-UAV Networks: A Federated Multi-Agent Deep Reinforcement Learning Approach}}, year = {2026}, url = {https://4ort.xyz/entity/trajectory-control-and-fair-communications-for-multi-uav-networks-a-federated-multi-agent-deep-reinforcement-learning-ap}, note = {Accessed: 2026-05-24}}
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