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A Reduced-Order Model-Based Reinforcement Learning Approach to the Control of Nonlinear Partial Differential Equations
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Abstract. In this paper, we present a reduced-order model-based reinforcement learning method, leveraging the iterative linear quadratic regulator (ILQR) algorithm for the optimal control of nonlinear partial differential ...
Optimal Control of Material Microstructures1
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: In this paper, we consider the optimal control of material microstructures. Such material microstructures are modeled by the so-called phase-field model. We study the underlying physical structure of the model and propose ...
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