Sample-efficient reinforcement learning for CERN accelerator control
Numerical optimization algorithms are already established tools to increase and stabilize the performance of particle accelerators. These algorithms have many advantages, are available out of the box, and can be adapted to a wide range of optimization problems in accelerator operation. The next boos...
שמור ב:
| Principais autores: | , , , , , , |
|---|---|
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
American Physical Society
2020-12-01
|
| סדרה: | Physical Review Accelerators and Beams |
| גישה מקוונת: | http://doi.org/10.1103/PhysRevAccelBeams.23.124801 |
| תגים: |
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
|