Self-Evolving Agents with Anytime-Valid Certificates
Researchers propose SEA, an architecture that enables autonomous agents to modify themselves while maintaining formal safety guarantees. The system freezes a base model and routes all self-modifications through a steering adapter gated by anytime-valid certificates, each tied to a fixed error budget. Five verification mechanisms, including best-of-N selection and self-repair loops, allow the agent to explore behavioral variations without violating provable bounds. This addresses a critical gap in learning theory: most guarantees assume static data and evaluation, but self-improving systems violate both. The work matters for deployment because it decouples capability growth from guarantee erosion, potentially enabling safer autonomous iteration in production settings.62
