Jakob Thumm

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 12

Top Topics

Reinforcement Learning

Driving Behavior

Continuous Action

Top Venues

IEEE Trans. Ind. Informatics

Publications

Roland Stolz, Hanna Krasowski, Jakob Thumm, Michael Eichelbeck, Philipp Gassert, Matthias Althoff
Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking. CoRR (2024)
Jakob Thumm, Felix Trost, Matthias Althoff
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration. ICRA (2024)
Jakob Thumm, Guillaume Pelat, Matthias Althoff
Reducing Safety Interventions in Provably Safe Reinforcement Learning. IROS (2023)
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)
Jakob Thumm, Felix Trost, Matthias Althoff
Human-Robot Gym: Benchmarking Reinforcement Learning in Human-Robot Collaboration. CoRR (2023)
Jakob Thumm, Guillaume Pelat, Matthias Althoff
Reducing Safety Interventions in Provably Safe Reinforcement Learning. CoRR (2023)
Marcel Reith-Braun, Florian Pfaff, Jakob Thumm, Uwe D. Hanebeck
Approximate First-Passage Time Distributions for Gaussian Motion and Transportation Models. FUSION (2023)
Hanna Krasowski, Jakob Thumm, Marlon Müller, Xiao Wang, Matthias Althoff
Provably Safe Reinforcement Learning: A Theoretical and Experimental Comparison. CoRR (2022)
Jakob Thumm, Matthias Althoff
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments. CoRR (2022)
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) (2022)
Jakob Thumm, Matthias Althoff
Provably Safe Deep Reinforcement Learning for Robotic Manipulation in Human Environments. ICRA (2022)
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)