Sabrina Pochaba
Sabrina Pochaba completed her Master's degree in mathematics at the Ruprecht Karls University in Heidelberg. In her master's thesis, she analysed a special system of partial differential equations for pattern formation. She is currently working in the Communication Technologies department at the SRFG, where she is a data scientist specialising in neural networks and machine learning.
Sabrina Pochaba
Position: Predoc-Position - In co-operation with Salzburg Research
E-Mail: sabrina.pochaba@salzburgresearch.at
Datum Beginn: 01.09.2021
Datum Ende: 31.12.2025
Publikationen
- S. Hirländer, S. Pochaba, C. Xu, et al: Deep Meta Reinforcement Learning for Rapid Adaptation In Linear Markov Decision Processes: Applications to CERN's AWAKE Project. (2024) https://doi.org/ https://doi.org/10.1007/978-3-031-65993-5_21
- S. Pochaba, R. Kwitt, S. Hirländer, et al: Multi-agent Reinforcement Learning and Its Application to Wireless Network Communication. (2024) https://doi.org/ https://doi.org/10.1007/978-3-031-65993-5_45
- S. Hirländer, L. Lamminger, S. Pochaba, J. Kaiser, C. Xu, A. Santamaría, L. Scomparin, V. Kain : Towards few-shot reinforcement learning in particle accelerator control. (2024) https://doi.org/ https://doi.org/10.18429/JACoW-IPAC2024-TUPS59
- A. Santamaría, C. Xu, L. Scomparin, S. Hirländer, S. Pochaba, A. Eichler, J. Kaiser, M. Schenk : The Reinforcement Learning for Autonomous Accelerators Collaboration. (2024) https://doi.org/https://doi.org/10.18429/JACoW-IPAC2024-TUPS62