# Accelerator Control using Gaussian Process Model Predictive Control Based Reinforcement Learning

- Institution: CERN
- Department: CERN openlab Summer Student Programme 2023
- Speaker: Su Aye
- Year: 2023
- Language: English
- Source: [CERN](https://videos.cern.ch/record/3011890)
- Licence: [CERN](http://copyright.web.cern.ch)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

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 quantification capabilities of Gaussian Processes, the algorithm will overcome limitations related to beam instrumentation and training large iterations. The final outcome will be the integration of the modified algorithm into CERN's Generic Optimisation Framework, facilitating easy deployment for operational scenarios and enabling intelligent accelerator control..

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## Lectures

1. [Accelerator Control using Gaussian Process Model Predictive Control Based Reinforcement Learning](https://invisiblenetwork.ai/learn/cern/3011890/9ac88b16f7d4), 10 min (CERN's player)