Learning what to Remember: Reinforcement Learning for Cost-Aware Memory in LLM Agents
Long-term memory is a critical capability for LLM-based agents, yet most current systems rely on RetrievalAugmented Generation (RAG), which stores information indiscriminately and retrieves by similarity alone. This passive approach lacks any notion of utility: it does not distinguish valuable knowledge from noise and...