A closed-loop LLM framework generates and refines routing rewards for LEO satellite networks, matching an expert baseline within 3 percent goodput.
Text2reward: Automated dense reward function gen- eration for reinforcement learning,
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LLM-Driven Automated Reward Design for Reinforcement Learning-Based Routing in LEO Satellite Networks
A closed-loop LLM framework generates and refines routing rewards for LEO satellite networks, matching an expert baseline within 3 percent goodput.