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Al Pontryagin or how artificial neural networks learn to control dynamical systems

Computer Science

Al Pontryagin or how artificial neural networks learn to control dynamical systems

L. Böttcher, N. Antulov-fantulin, et al.

Discover Al Pontryagin, a pioneering neural ordinary differential equation framework developed by Lucas Böttcher, Nino Antulov-Fantulin, and Thomas Asikis. This innovative approach effectively learns control signals for steering complex dynamical systems towards desired states, showcasing remarkable potential in solving tough optimization challenges.

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