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Johannes Müller

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#machine learning Open access Mar 2024

Fisher-Rao Gradient Flows of Linear Programs and State-Action Natural Policy Gradients

This work studies Fisher-Rao gradient flows of linear programs more generally and shows linear convergence with a rate that depends on the geometry of the linear program, and shows sublinear convergence for perturbed Fisher-Rao gradient flows and natural gradient flows up to an approximation error.

Johannes Müller, Semih Cayci, Guido Montúfar · 6 citations

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