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Philipp Scholl
Philipp Scholl
PhD Student Mathematics, Ludwig-Maximilians University
Bestätigte E-Mail-Adresse bei math.lmu.de - Startseite
Titel
Zitiert von
Zitiert von
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Safe Policy Improvement Approaches on Discrete Markov Decision Processes
P Scholl, F Dietrich, C Otte, S Udluft
ICAART 2, 142-151, 2022
52022
Safe policy improvement approaches and their limitations
P Scholl, F Dietrich, C Otte, S Udluft
International Conference on Agents and Artificial Intelligence, 74-98, 2022
32022
Evaluation of Safe Policy Improvement with Soft Baseline Bootstrapping
P Scholl
Technical University of Munich, 2021
32021
Well-definedness of Physical Law Learning: The Uniqueness Problem
P Scholl, A Bacho, H Boche, G Kutyniok
arXiv preprint arXiv:2210.08342, 2022
22022
The Uniqueness Problem of Physical Law Learning
P Scholl, A Bacho, H Boche, G Kutyniok
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
12023
Learning-based adaption of robotic friction models
P Scholl, M Iskandar, S Wolf, J Lee, A Bacho, A Dietrich, A Albu-Schäffer, ...
arXiv preprint arXiv:2310.16688, 2023
2023
ParFam--Symbolic Regression Based on Continuous Global Optimization
P Scholl, K Bieker, H Hauger, G Kutyniok
arXiv preprint arXiv:2310.05537, 2023
2023
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