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A survey on resource scheduling approaches in multi-access edge computing environment: a deep reinforcement learning study
Research article (Cluster Computing, 2025) · cited 44× · AI/ML
A survey on resource scheduling approaches in multi-access edge computing environment: a deep reinforcement learning study
Summary
A survey on resource scheduling approaches in multi-access edge computing environment: a deep reinforcement learning study is a scholarly article[1].
Key Facts
A survey on resource scheduling approaches in multi-access edge computing environment: a deep reinforcement learning study'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). A survey on resource scheduling approaches in multi-access edge computing environment: a deep reinforcement learning study. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-survey-on-resource-scheduling-approaches-in-multi-access-edge-computing-environment-a-deep-reinforcement-learning-stud
MLA“A survey on resource scheduling approaches in multi-access edge computing environment: a deep reinforcement learning study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-survey-on-resource-scheduling-approaches-in-multi-access-edge-computing-environment-a-deep-reinforcement-learning-stud.
BibTeX@misc{4ortxyz_a-survey-on-resource-scheduling-approaches-in-multi-access-edge-computing-environment-a-deep-reinforcement-learning-stud_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A survey on resource scheduling approaches in multi-access edge computing environment: a deep reinforcement learning study}}, year = {2026}, url = {https://4ort.xyz/entity/a-survey-on-resource-scheduling-approaches-in-multi-access-edge-computing-environment-a-deep-reinforcement-learning-stud}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A survey on resource scheduling approaches in multi-access edge computing environment: a deep reinforcement learning study — https://4ort.xyz/entity/a-survey-on-resource-scheduling-approaches-in-multi-access-edge-computing-environment-a-deep-reinforcement-learning-stud (retrieved 2026-05-24)
