Machine Heart

Jul 12, 2026 · Artificial Intelligence

Does One Update Really Strengthen a Policy? PIRL and PIPO for Closed‑Loop RL

The paper by researchers from Beihang, Peking University and Meituan proposes PIRL, a new RL‑post‑training perspective that treats policy improvement as the optimization objective, and PIPO, a plug‑and‑play framework that adds a verification loop to amplify beneficial updates and suppress harmful ones, demonstrating consistent gains across math reasoning, code and tool‑use tasks.