An LLM-written reward that adds a drone-position term lowers simulated energy consumption by up to 7.2% versus a manually designed reward in a UAV-assisted IoT data collection task.
Chain-of-thought prompting elicits reasoning in large language models,
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Large Language Model-enhanced Reinforcement Learning for Low-Altitude Economy Networking
An LLM-written reward that adds a drone-position term lowers simulated energy consumption by up to 7.2% versus a manually designed reward in a UAV-assisted IoT data collection task.