Data Party THU

Apr 20, 2026 · Artificial Intelligence

How MemPO Uses Reinforcement Learning to Turn Agent Memory into a Trainable Policy

MemPO introduces a self‑memory policy optimization framework that lets long‑horizon LLM agents autonomously manage and refine their memory via reinforcement learning, using global‑trajectory and informative‑memory advantage estimates, achieving up to 25.98% F1 gain and 73% token reduction on benchmark tasks.