About
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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The talk
Credits and licence
- Institution
- CERN
- Department
- CERN openlab Summer Student Programme 2023
- Speaker
- Su Aye
- Year
- 2023
- Language
- English
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Teens profiles and older, judged from what the source says about it. How courses are placed