Jan Robine

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Reinforcement Learning

Function Approximators

Top Venues

Neural Process. Lett.

Trans. Mach. Learn. Res.

Publications

Stefan Sylvius Wagner, Peter Arndt, Jan Robine, Stefan Harmeling
Cyclophobic Reinforcement Learning. CoRR (2023)
Thomas Germer, Jan Robine, Sebastian Konietzny, Stefan Harmeling, Tobias Uelwer
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data. CoRR (2023)
Stefan Sylvius Wagner, Peter Arndt, Jan Robine, Stefan Harmeling
Cyclophobic Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023)
Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling
A Survey on Self-Supervised Representation Learning. CoRR (2023)
Marc Höftmann, Jan Robine, Stefan Harmeling
Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm. CoRR (2023)
Jan Robine, Tobias Uelwer, Stefan Harmeling
Smaller World Models for Reinforcement Learning. Neural Process. Lett. 55 (8) (2023)
Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling
Transformer-based World Models Are Happy With 100k Interactions. ICLR (2023)
Marc Höftmann, Jan Robine, Stefan Harmeling
Backward Learning for Goal-Conditioned Policies. CoRR (2023)
Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling
Transformer-based World Models Are Happy With 100k Interactions. CoRR (2023)
Jan Robine, Tobias Uelwer, Stefan Harmeling
Discrete Latent Space World Models for Reinforcement Learning. CoRR (2020)