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cs.MA2026
SSR: Structural Signal Retriever for Scalable Agent Discovery in LLM-Orchestrated Multi-Agent Systems
Giancarlo Maldonado Cárdenas, Carlos A. Astudillo, Nelson L. S. da Fonseca
Large-scale multi-agent ecosystems require mechanisms for discovering suitable agents without exposing entire registries to a large language model (LLM) orchestrator. The challenge…
cs.NI2026
LLM-Driven Automated Reward Design for Reinforcement Learning-Based Routing in LEO Satellite Networks
Walter P. Casas, Nelson L. S. da Fonseca, and Carlos A. Astudillo
Routing in Low Earth Orbit (LEO) satellite networks is challenging due to highly dynamic topologies and spatio-temporal network conditions. Reinforcement Learning (RL) has emerged…