Home ›
Entities
› academia
› Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach
Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach
Research article (IEEE Transactions on Network Science and Engineering, 2021) · cited 63× · AI/ML
Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach
Summary
Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach is a scholarly article[1].
Key Facts
Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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). Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/resource-allocation-for-delay-sensitive-vehicle-to-multi-edges-v2es-communications-in-vehicular-networks-a-multi-agent-d
MLA“Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/resource-allocation-for-delay-sensitive-vehicle-to-multi-edges-v2es-communications-in-vehicular-networks-a-multi-agent-d.
BibTeX@misc{4ortxyz_resource-allocation-for-delay-sensitive-vehicle-to-multi-edges-v2es-communications-in-vehicular-networks-a-multi-agent-d_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach}}, year = {2026}, url = {https://4ort.xyz/entity/resource-allocation-for-delay-sensitive-vehicle-to-multi-edges-v2es-communications-in-vehicular-networks-a-multi-agent-d}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Resource Allocation for Delay-Sensitive Vehicle-to-Multi-Edges (V2Es) Communications in Vehicular Networks: A Multi-Agent Deep Reinforcement Learning Approach — https://4ort.xyz/entity/resource-allocation-for-delay-sensitive-vehicle-to-multi-edges-v2es-communications-in-vehicular-networks-a-multi-agent-d (retrieved 2026-05-24)
