Retrieval-Augmented LLM Agents: Learning to Learn from Experience

Thomas Palmeira Ferraz, Romain Deffayet, Vassilina Nikoulina +2

While large language models (LLMs) have advanced the development of general-purpose agents, robust generalization to unseen tasks remains challenging. Two common approaches are sup…