Conservative Meta-Agent Search: Architecture Adaptation under Non-Stationarity

Ali Atiah Alzahrani · 2026 · arXiv

DOI: 10.48550/arXiv.2610.31436 · open-access PDF

Abstract

Automated agentic-system design is typically evaluated on static task suites with immediate scalar rewards. Deployed systems face persistent shift, delayed dependent feedback, correlated component failures, and costly architecture changes. We formalize meta-agent architecture search as sequential incumbent replacement with switching costs and hard risk constraints and introduce Conservative Meta-Agent Search (CMAS). CMAS retrieves archived architectures and proposes typed graph edits, then scores each against the incumbent by paired shadow replay under common random numbers, with interventiona

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