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This document presents a sliced Wasserstein steering framework for optimal transport of Gaussian measures, focusing on efficient distribution steering through one-dimensional projections. The proposed method reduces computational complexity in high-dimensional spaces by averaging optimal velocities from multiple projections, allowing for effective control with limited observations. The framework is shown to achieve desired target distributions while minimizing energy consumption, making it suitable for prac

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alvarojavierortega.com

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EN