Optimization Theory Shows AI Agent Teams Converge Linearly, Doubling Task Routing Speed
Peter Richtárik's team published a paper proving that AI agent teams can converge linearly using optimization theory, speeding up task routing by 2x. Richtárik explained that the theory yields a cost-optimal synchronization frequency rather than just a safe upper bound.
2026-11-02 ~ 2026-11-02 · 2 related posts
- Convergence theory shows AI agent teams can collaborate: 2x faster routing, 30% time cut — peter_richtarik · 2026-11-02
- Optimization theory says agent teams get a cost-optimal sync interval, not a safe maximum — peter_richtarik · 2026-11-02