An LLM-based in-context learning method is shown in simulation to match or outperform MARL for task offloading and resource allocation in a digital twin edge computing network with queue stability constraints.
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Large Language Model-Based Task Offloading and Resource Allocation for Digital Twin Edge Computing Networks
An LLM-based in-context learning method is shown in simulation to match or outperform MARL for task offloading and resource allocation in a digital twin edge computing network with queue stability constraints.