Projects per year
Collaborations and top research areas from the last five years
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NauROM: Nautic Robotics Occupation Maps
Hirländer, S. (Principal Investigator) & Borgelt, C. (Co-Investigator)
1/10/24 → 31/03/25
Project: Research
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DEOP 2.0: Dynamische Energieoptimierung 2.0
Hirländer, S. (Principal Investigator)
1/10/24 → 15/01/25
Project: Research
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DS STIWA: Data Science STIWA
Trutschnig, W. (Principal Investigator) & Hirländer, S. (Co-Investigator)
1/09/24 → 28/02/25
Project: Research
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LLMs für Unternehmen: Large-Language-Modelle (LLMs) für Unternehmen
Hirländer, S. (Principal Investigator), Borgelt, C. (Co-Investigator) & Baron, S. (Co-Investigator)
1/05/24 → 31/07/24
Project: Research
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DEOP 1.5: Dynamische Energieoptimierung 1.5
Hirländer, S. (Principal Investigator) & Trutschnig, W. (Co-Investigator)
1/11/23 → 15/05/24
Project: Research
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DATA-DRIVEN MODEL PREDICTIVE CONTROL FOR AUTOMATED OPTIMIZATION OF INJECTION INTO THE SIS18 SYNCHROTRON: DATA-DRIVEN MODEL PREDICTIVE CONTROL FOR AUTOMATED OPTIMIZATION OF INJECTION INTO THE SIS18 SYNCHROTRON
Hirländer, S., Appel, S. (Corresponding author) & Madysa, N., 19 May 2024.Research output: Contribution to conference › Paper
Open Access -
The Reinforcement Learning for Autonomous Accelerators Collaboration: The Reinforcement Learning for Autonomous Accelerators Collaboration
Hirländer, S. (Corresponding author), Santamaria Garcia, A., Scomparin, L. (Corresponding author) & Xu, C. (Corresponding author), 19 May 2024.Research output: Working paper/Preprint › Working paper
Open Access -
TOWARDS FEW-SHOT REINFORCEMENT LEARNING IN PARTICLE ACCELERATOR CONTROL: TOWARDS FEW-SHOT REINFORCEMENT LEARNING IN PARTICLE ACCELERATOR CONTROL
Hirländer, S., Lamminger, L. (Corresponding author), Pochaba, S. (Corresponding author), Kaiser, J. (Corresponding author), Xu, C. (Corresponding author), Santamaria Garcia, A. (Corresponding author), Kain, V. (Corresponding author) & Scomparin, L. (Corresponding author), 19 May 2024.Research output: Contribution to conference › Paper
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Tutorial on Meta-Reinforcement Learning and GP-MPC at the RL4AA'24 Workshop: Tutorial on Meta-Reinforcement Learning and GP-MPC at the RL4AA'24 Workshop
Hirländer, S., Santamaria Garcia, A. (Developer), Xu, C. (Developer), Kaiser, J. (Developer) & Pochaba, S. (Developer), 27 Mar 2024Research output: Non-textual form › Software
Open Access -
A Modular Test Bed for Reinforcement Learning Incorporation into Industrial Applications
Kozlica, R., Schäfer, G., Wegenkittl, S. & Hirländer, S., 4 Jan 2024, Data Science---Analytics and Applications. Haber, P., Lampoltshammer, T. J. & Mayr, M. (eds.). Cham: Springer Nature Switzerland, p. 99-101 3 p. (Data Science—Analytics and Applications).Research output: Chapter in Book/Report/Conference proceeding/Legal commentary › Conference contribution › peer-review
Open Access
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Learn how to make decisions under uncertainty
Hirländer, S. (Speaker)
27 Feb 2024Activity: Talk or presentation › Oral presentation › science to science / art to art
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Concepts to overcome challenges in applying RL to accelerators - from deep meta-RL to safe shallow model-based RL
Hirländer, S. (Speaker)
6 Feb 2024Activity: Talk or presentation › Oral presentation › science to science / art to art
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2nd collaboration workshop on Reinforcement Learning for Autonomous Accelerators
Hirländer, S. (Contributor), Santamaria Garcia, A. (Contributor), Kaiser, J. (Contributor), Xu, C. (Contributor), Pochaba, S. (Contributor) & Eichler, A. (Contributor)
5 Feb 2024 → 7 Feb 2024Activity: Participating in or organising an event › Organising an event
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AI is what we make it
Hirländer, S. (Speaker)
18 Nov 2023Activity: Talk or presentation › Oral presentation › science to public / art to public
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Robust fractal time series analysis (FTSA) on pressure solution seams in rocks
Hirländer, S. (Speaker)
23 Oct 2023 → 26 Oct 2023Activity: Talk or presentation › Oral presentation › science to science / art to art