Joint UAV 3D Trajectory Design and Resource Scheduling for Space-Air-Ground Integrated Power IoRT: A Deep Reinforcement Learning Approach

Research article (IEEE Transactions on Network Science and Engineering, 2023) · cited 13× · AI/ML
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Joint UAV 3D Trajectory Design and Resource Scheduling for Space-Air-Ground Integrated Power IoRT: A Deep Reinforcement Learning Approach

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Joint UAV 3D Trajectory Design and Resource Scheduling for Space-Air-Ground Integrated Power IoRT: A Deep Reinforcement Learning Approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Joint UAV 3D Trajectory Design and Resource Scheduling for Space-Air-Ground Integrated Power IoRT: A Deep Reinforcement Learning Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/joint-uav-3d-trajectory-design-and-resource-scheduling-for-space-air-ground-integrated-power-iort-a-deep-reinforcement-l
MLA “Joint UAV 3D Trajectory Design and Resource Scheduling for Space-Air-Ground Integrated Power IoRT: A Deep Reinforcement Learning Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/joint-uav-3d-trajectory-design-and-resource-scheduling-for-space-air-ground-integrated-power-iort-a-deep-reinforcement-l.
BibTeX @misc{4ortxyz_joint-uav-3d-trajectory-design-and-resource-scheduling-for-space-air-ground-integrated-power-iort-a-deep-reinforcement-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Joint UAV 3D Trajectory Design and Resource Scheduling for Space-Air-Ground Integrated Power IoRT: A Deep Reinforcement Learning Approach}}, year = {2026}, url = {https://4ort.xyz/entity/joint-uav-3d-trajectory-design-and-resource-scheduling-for-space-air-ground-integrated-power-iort-a-deep-reinforcement-l}, note = {Accessed: 2026-05-24}}
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