Transformer-based World Models Are Happy With 100k Interactions. - Jan Robine; Marc Höftmann; Tobias Uelwer; Stefan Harmeling (ICLR, 2023)

Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm. - Marc Höftmann; Jan Robine; Stefan Harmeling (CoRR, 2023)

A Survey on Self-Supervised Representation Learning. - Tobias Uelwer; Jan Robine; Stefan Sylvius Wagner; Marc Höftmann; Eric Upschulte; Sebastian Konietzny; Maike Behrendt; Stefan Harmeling (CoRR, 2023)

Backward Learning for Goal-Conditioned Policies. - Marc Höftmann; Jan Robine; Stefan Harmeling (CoRR, 2023)

Simple, Good, Fast: Self-Supervised World Models Free of Baggage. - Jan Robine; Marc Höftmann; Stefan Harmeling (ICLR, 2025)

A survey on self-supervised methods for visual representation learning. - Tobias Uelwer; Jan Robine; Stefan Sylvius Wagner; Marc Höftmann; Eric Upschulte; Sebastian Konietzny; Maike Behrendt; Stefan Harmeling (Mach. Learn., 2025)