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              Designing High-Dimensional Closed-Loop Optimal Control Using Deep Neural Networks

              Jul 28, 2023

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              Designing closed-loop optimal control for high-dimensional nonlinear systems remains a persistent challenge. Traditional methods, such as solving the Hamilton-Jacobi-Bellman equation, suffer from the curse of dimensionality. Recent studies introduced a promising supervised learning approach, akin to imitation learning, that uses deep neural networks to learn from open-loop optimal control solutions. In this talk, we'll explore this method, highlighting a limitation in its basic form: the distrib…

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