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Jakob Thumm
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Journal Articles
- 2023
- [j2]Hanna Krasowski, Jakob Thumm, Marlon Müller, Lukas Schäfer, Xiao Wang, Matthias Althoff:
Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j1]Jakob Thumm
, Marcel Reith-Braun
, Florian Pfaff
, Uwe D. Hanebeck
, Merle Flitter, Georg Maier
, Robin Gruna
, Thomas Längle
, Albert Bauer
, Harald Kruggel-Emden
:
Mixture of Experts of Neural Networks and Kalman Filters for Optical Belt Sorting. IEEE Trans. Ind. Informatics 18(6): 3724-3733 (2022)
Conference and Workshop Papers
- 2024
- [c5]Jakob Thumm, Felix Trost, Matthias Althoff:
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration. ICRA 2024: 7405-7411 - 2023
- [c4]Marcel Reith-Braun, Florian Pfaff, Jakob Thumm, Uwe D. Hanebeck:
Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models. FUSION 2023: 1-8 - [c3]Jakob Thumm, Guillaume Pelat, Matthias Althoff:
Reducing Safety Interventions in Provably Safe Reinforcement Learning. IROS 2023: 7515-7522 - 2022
- [c2]Sven R. Schepp, Jakob Thumm, Stefan B. Liu, Matthias Althoff:
SaRA: A Tool for Safe Human-Robot Coexistence and Collaboration through Reachability Analysis. ICRA 2022: 4312-4317 - [c1]Jakob Thumm, Matthias Althoff:
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments. ICRA 2022: 6344-6350
Informal and Other Publications
- 2024
- [i5]Roland Stolz, Hanna Krasowski, Jakob Thumm, Michael Eichelbeck, Philipp Gassert, Matthias Althoff:
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking. CoRR abs/2406.03704 (2024) - 2023
- [i4]Jakob Thumm, Guillaume Pelat, Matthias Althoff:
Reducing Safety Interventions in Provably Safe Reinforcement Learning. CoRR abs/2303.03339 (2023) - [i3]Jakob Thumm, Felix Trost, Matthias Althoff:
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration. CoRR abs/2310.06208 (2023) - 2022
- [i2]Jakob Thumm, Matthias Althoff:
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments. CoRR abs/2205.06311 (2022) - [i1]Hanna Krasowski, Jakob Thumm, Marlon Müller, Xiao Wang, Matthias Althoff:
Provably Safe Reinforcement Learning: A Theoretical and Experimental Comparison. CoRR abs/2205.06750 (2022)
Coauthor Index
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