Memory as a Controlled Process: Learned Adaptive Memory Management for LLM Agents
MEMCON models memory operations as a Markov Decision Process to adaptively manage an LLM agent's experience. It learns an online policy to decide when and how much to retrieve, plan, or consolidate information based on the current task state. This approach improves performance by optimizing memory usage through continuous learning.