Carlos A. Astudillo

LLM-Driven Automated Reward Design for Reinforcement Learning-Based Routing in LEO Satellite Networks

Results indicate that effectiveness emerges from the iterative feedback-driven process enabled by LARGE, highlighting the potential of framework-driven LLM-in-the-loop optimization for RL-based routing in dynamic satellite networks.