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Accelerator Control using Gaussian Process Model Predictive Control Based Reinforcement Learning
<!--HTML-->Abstract: This project aims to develop a model-based Reinforcement Learning (RL) algorithm, based on the GP-MPC(Gaussian Process-Model Predictive Control) approach, for controlling accelerator systems using Machine Learning. By leveraging insufficient data and uncertainty quantifica...
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| Lenguaje: | eng |
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2023
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| Acceso en línea: | http://cds.cern.ch/record/2868378 |