Trajectory Design and Access Control for Air–Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning

Research article (IEEE Internet of Things Journal, 2021) · cited 89× · AI/ML
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Trajectory Design and Access Control for Air–Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning

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Trajectory Design and Access Control for Air–Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Trajectory Design and Access Control for Air–Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/trajectory-design-and-access-control-for-airground-coordinated-communications-system-with-multiagent-deep-reinforcement-
MLA “Trajectory Design and Access Control for Air–Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/trajectory-design-and-access-control-for-airground-coordinated-communications-system-with-multiagent-deep-reinforcement-.
BibTeX @misc{4ortxyz_trajectory-design-and-access-control-for-airground-coordinated-communications-system-with-multiagent-deep-reinforcement-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Trajectory Design and Access Control for Air–Ground Coordinated Communications System With Multiagent Deep Reinforcement Learning}}, year = {2026}, url = {https://4ort.xyz/entity/trajectory-design-and-access-control-for-airground-coordinated-communications-system-with-multiagent-deep-reinforcement-}, note = {Accessed: 2026-05-24}}
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