Jan Robine

13 papers A* 2Journal 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
A survey on self-supervised methods for visual representation learning.
Mach. Learn.
Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling
2025 A* conf
Simple, Good, Fast: Self-Supervised World Models Free of Baggage.
ICLR
Jan Robine, Marc Höftmann, Stefan Harmeling
2025 J jnl
Simple, Good, Fast: Self-Supervised World Models Free of Baggage.
CoRR
Jan Robine, Marc Höftmann, Stefan Harmeling
2023 J jnl
A Survey on Self-Supervised Representation Learning.
CoRR
Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling
2023 J jnl
Backward Learning for Goal-Conditioned Policies.
CoRR
Marc Höftmann, Jan Robine, Stefan Harmeling
2023 J jnl
Cyclophobic Reinforcement Learning.
CoRR
Stefan Sylvius Wagner, Peter Arndt, Jan Robine, Stefan Harmeling
2023 J jnl
Cyclophobic Reinforcement Learning.
Trans. Mach. Learn. Res.
Stefan Sylvius Wagner, Peter Arndt, Jan Robine, Stefan Harmeling
2023 J jnl
Limited-Angle Tomography Reconstruction via Deep End-To-End Learning on Synthetic Data.
CoRR
Thomas Germer, Jan Robine, Sebastian Konietzny, Stefan Harmeling, Tobias Uelwer
2023 J jnl
Smaller World Models for Reinforcement Learning.
Neural Process. Lett.
Jan Robine, Tobias Uelwer, Stefan Harmeling
2023 J jnl
Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm.
CoRR
Marc Höftmann, Jan Robine, Stefan Harmeling
2023 A* conf
Transformer-based World Models Are Happy With 100k Interactions.
ICLR
Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling
2023 J jnl
Transformer-based World Models Are Happy With 100k Interactions.
CoRR
Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling
2020 J jnl
Discrete Latent Space World Models for Reinforcement Learning.
CoRR
Jan Robine, Tobias Uelwer, Stefan Harmeling