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Multi-Agent Deep Reinforcement Learning Based Optimizing Joint 3D Trajectories and Phase Shifts in RIS-Assisted UAV-Enabled Wireless Communications
Research article (IEEE Open Journal of Vehicular Technology, 2024) · cited 15× · AI/ML
Multi-Agent Deep Reinforcement Learning Based Optimizing Joint 3D Trajectories and Phase Shifts in RIS-Assisted UAV-Enabled Wireless Communications
Summary
Multi-Agent Deep Reinforcement Learning Based Optimizing Joint 3D Trajectories and Phase Shifts in RIS-Assisted UAV-Enabled Wireless Communications is a scholarly article[1].
Key Facts
Multi-Agent Deep Reinforcement Learning Based Optimizing Joint 3D Trajectories and Phase Shifts in RIS-Assisted UAV-Enabled Wireless Communications's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Multi-Agent Deep Reinforcement Learning Based Optimizing Joint 3D Trajectories and Phase Shifts in RIS-Assisted UAV-Enabled Wireless Communications. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-agent-deep-reinforcement-learning-based-optimizing-joint-3d-trajectories-and-phase-shifts-in-ris-assisted-uav-enab
MLA“Multi-Agent Deep Reinforcement Learning Based Optimizing Joint 3D Trajectories and Phase Shifts in RIS-Assisted UAV-Enabled Wireless Communications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-agent-deep-reinforcement-learning-based-optimizing-joint-3d-trajectories-and-phase-shifts-in-ris-assisted-uav-enab.
BibTeX@misc{4ortxyz_multi-agent-deep-reinforcement-learning-based-optimizing-joint-3d-trajectories-and-phase-shifts-in-ris-assisted-uav-enab_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-Agent Deep Reinforcement Learning Based Optimizing Joint 3D Trajectories and Phase Shifts in RIS-Assisted UAV-Enabled Wireless Communications}}, year = {2026}, url = {https://4ort.xyz/entity/multi-agent-deep-reinforcement-learning-based-optimizing-joint-3d-trajectories-and-phase-shifts-in-ris-assisted-uav-enab}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-Agent Deep Reinforcement Learning Based Optimizing Joint 3D Trajectories and Phase Shifts in RIS-Assisted UAV-Enabled Wireless Communications — https://4ort.xyz/entity/multi-agent-deep-reinforcement-learning-based-optimizing-joint-3d-trajectories-and-phase-shifts-in-ris-assisted-uav-enab (retrieved 2026-05-24)
