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LLM-Assisted Reinforcement Learning: Leveraging Lightweight Large Language Model Capabilities for Efficient Task Scheduling in Multi-Cloud Environment
Research article (IEEE Transactions on Consumer Electronics, 2025) · cited 22× · AI/ML
LLM-Assisted Reinforcement Learning: Leveraging Lightweight Large Language Model Capabilities for Efficient Task Scheduling in Multi-Cloud Environment
Summary
LLM-Assisted Reinforcement Learning: Leveraging Lightweight Large Language Model Capabilities for Efficient Task Scheduling in Multi-Cloud Environment is a scholarly article[1].
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LLM-Assisted Reinforcement Learning: Leveraging Lightweight Large Language Model Capabilities for Efficient Task Scheduling in Multi-Cloud Environment's instance of is recorded as scholarly article[2].
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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). LLM-Assisted Reinforcement Learning: Leveraging Lightweight Large Language Model Capabilities for Efficient Task Scheduling in Multi-Cloud Environment. Retrieved May 24, 2026, from https://4ort.xyz/entity/llm-assisted-reinforcement-learning-leveraging-lightweight-large-language-model-capabilities-for-efficient-task-scheduli
MLA“LLM-Assisted Reinforcement Learning: Leveraging Lightweight Large Language Model Capabilities for Efficient Task Scheduling in Multi-Cloud Environment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/llm-assisted-reinforcement-learning-leveraging-lightweight-large-language-model-capabilities-for-efficient-task-scheduli.
BibTeX@misc{4ortxyz_llm-assisted-reinforcement-learning-leveraging-lightweight-large-language-model-capabilities-for-efficient-task-scheduli_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LLM-Assisted Reinforcement Learning: Leveraging Lightweight Large Language Model Capabilities for Efficient Task Scheduling in Multi-Cloud Environment}}, year = {2026}, url = {https://4ort.xyz/entity/llm-assisted-reinforcement-learning-leveraging-lightweight-large-language-model-capabilities-for-efficient-task-scheduli}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LLM-Assisted Reinforcement Learning: Leveraging Lightweight Large Language Model Capabilities for Efficient Task Scheduling in Multi-Cloud Environment — https://4ort.xyz/entity/llm-assisted-reinforcement-learning-leveraging-lightweight-large-language-model-capabilities-for-efficient-task-scheduli (retrieved 2026-05-24)
