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Enhanced Imitation Learning of Model Predictive Control through Importance Weighting

US & West · yesterday

arXiv:2611.06622v1 Announce Type: new Abstract: The approximation of model predictive control (MPC) algorithms with neural network models has received significant attention in the power electronics research community, as a valuable tool to enable the real-time implementation of computationally…

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Original headline: Enhanced Imitation Learning of Model Predictive Control through Importance Weighting

Read the original: arXiv — Systems and Control (eess.SY)

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