Home ›
Entities
› academia
› Energy-Efficient Ground-Air-Space Vehicular Crowdsensing by Hierarchical Multi-Agent Deep Reinforcement Learning With Diffusion Models
Energy-Efficient Ground-Air-Space Vehicular Crowdsensing by Hierarchical Multi-Agent Deep Reinforcement Learning With Diffusion Models
Research article (IEEE Journal on Selected Areas in Communications, 2024) · cited 15× · AI/ML
Energy-Efficient Ground-Air-Space Vehicular Crowdsensing by Hierarchical Multi-Agent Deep Reinforcement Learning With Diffusion Models
Summary
Energy-Efficient Ground-Air-Space Vehicular Crowdsensing by Hierarchical Multi-Agent Deep Reinforcement Learning With Diffusion Models is a scholarly article[1].
Key Facts
Energy-Efficient Ground-Air-Space Vehicular Crowdsensing by Hierarchical Multi-Agent Deep Reinforcement Learning With Diffusion Models's instance of is recorded as scholarly article[2].
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). Energy-Efficient Ground-Air-Space Vehicular Crowdsensing by Hierarchical Multi-Agent Deep Reinforcement Learning With Diffusion Models. Retrieved May 24, 2026, from https://4ort.xyz/entity/energy-efficient-ground-air-space-vehicular-crowdsensing-by-hierarchical-multi-agent-deep-reinforcement-learning-with-di
MLA“Energy-Efficient Ground-Air-Space Vehicular Crowdsensing by Hierarchical Multi-Agent Deep Reinforcement Learning With Diffusion Models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/energy-efficient-ground-air-space-vehicular-crowdsensing-by-hierarchical-multi-agent-deep-reinforcement-learning-with-di.
BibTeX@misc{4ortxyz_energy-efficient-ground-air-space-vehicular-crowdsensing-by-hierarchical-multi-agent-deep-reinforcement-learning-with-di_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Energy-Efficient Ground-Air-Space Vehicular Crowdsensing by Hierarchical Multi-Agent Deep Reinforcement Learning With Diffusion Models}}, year = {2026}, url = {https://4ort.xyz/entity/energy-efficient-ground-air-space-vehicular-crowdsensing-by-hierarchical-multi-agent-deep-reinforcement-learning-with-di}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Energy-Efficient Ground-Air-Space Vehicular Crowdsensing by Hierarchical Multi-Agent Deep Reinforcement Learning With Diffusion Models — https://4ort.xyz/entity/energy-efficient-ground-air-space-vehicular-crowdsensing-by-hierarchical-multi-agent-deep-reinforcement-learning-with-di (retrieved 2026-05-24)
