Bateni et al.

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Optimal Rates for Agentic Networked Information Aggregation

Researchers close the Kearns–Roth–Ryu gap for agentic networked information aggregation, proving excess error is constant up to depth M^2 then Θ(M^2/D).

arXiv cs.AI / cs.LG / cs.CLSep 4, 16:12 UTC · Sep 4, 2026AI research2 · 1 read

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