Ali Atiah Alzahrani · 2026 · arXiv
DOI: 10.48550/arXiv.2610.31436 · open-access PDF
Reka bentuk sistem agen otomatis biasanya dievaluasi pada suite tugas statis dengan imbalan skalar langsung. Sistem yang didistribusikan menghadapi pergeseran persisten, umpan balik bergantung tertunda, kegagalan komponen yang terkait, dan perubahan arsitektur yang mahal. Kami memformalisasi pencarian arsitektur meta-agent sebagai penggantian teratur berurutan dengan biaya switching dan pembatasan risiko keras dan memperkenalkan Conservative Meta-Agent Search (CMAS). CMAS mengambil arsitektur yang didistribusikan dan mengusulkan pengeditan grafis yang dicetak, kemudian mencetak masing-masing melawan incentumb dengan pemutaran bayangan berpasangan di bawah angka acak umum, dengan interventiona
Machine translation (Meta M2M100); the English original follows.
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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