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Digital Twin-Driven Collaborative Scheduling for Heterogeneous Task and Edge-End Resource via Multi-Agent Deep Reinforcement Learning
Research article (IEEE Journal on Selected Areas in Communications, 2023) · cited 85× · AI/ML
Digital Twin-Driven Collaborative Scheduling for Heterogeneous Task and Edge-End Resource via Multi-Agent Deep Reinforcement Learning
Summary
Digital Twin-Driven Collaborative Scheduling for Heterogeneous Task and Edge-End Resource via Multi-Agent Deep Reinforcement Learning is a scholarly article[1].
Key Facts
Digital Twin-Driven Collaborative Scheduling for Heterogeneous Task and Edge-End Resource via Multi-Agent Deep Reinforcement Learning's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Digital Twin-Driven Collaborative Scheduling for Heterogeneous Task and Edge-End Resource via Multi-Agent Deep Reinforcement Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/digital-twin-driven-collaborative-scheduling-for-heterogeneous-task-and-edge-end-resource-via-multi-agent-deep-reinforce
MLA“Digital Twin-Driven Collaborative Scheduling for Heterogeneous Task and Edge-End Resource via Multi-Agent Deep Reinforcement Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/digital-twin-driven-collaborative-scheduling-for-heterogeneous-task-and-edge-end-resource-via-multi-agent-deep-reinforce.
BibTeX@misc{4ortxyz_digital-twin-driven-collaborative-scheduling-for-heterogeneous-task-and-edge-end-resource-via-multi-agent-deep-reinforce_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Digital Twin-Driven Collaborative Scheduling for Heterogeneous Task and Edge-End Resource via Multi-Agent Deep Reinforcement Learning}}, year = {2026}, url = {https://4ort.xyz/entity/digital-twin-driven-collaborative-scheduling-for-heterogeneous-task-and-edge-end-resource-via-multi-agent-deep-reinforce}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Digital Twin-Driven Collaborative Scheduling for Heterogeneous Task and Edge-End Resource via Multi-Agent Deep Reinforcement Learning — https://4ort.xyz/entity/digital-twin-driven-collaborative-scheduling-for-heterogeneous-task-and-edge-end-resource-via-multi-agent-deep-reinforce (retrieved 2026-05-24)
