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Ramin Esmzad

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Preprint Jul 2026

Direct Data Driven Natural Gradient Descent for Control

This paper proposes two data-driven NGD formulations that incorporate the closed-loop covariance matrix through the Fisher Information Matrix (FIM), allowing gradient updates to be preconditioned according to the system's intrinsic uncertainty.

Ramin Esmzad, F. Yaghmaie, Bahare Kiumarsi et al. · 0 citations