Modular Networks Prevent Catastrophic Interference in Model-Based Multi-task Reinforcement Learning. - Robin Schiewer; Laurenz Wiskott (LOD, 2021)

Latent Representation Prediction Networks. - Hlynur Davíð Hlynsson; Merlin Schüler; Robin Schiewer; Tobias Glasmachers; Laurenz Wiskott (Int. J. Pattern Recognit. Artif. Intell., 2022)

Benchmarks for Physical Reasoning AI. - Andrew Melnik; Robin Schiewer; Moritz Lange; Andrei Ioan Muresanu; Mozhgan Saeidi; Animesh Garg; Helge J. Ritter (Trans. Mach. Learn. Res., 2023)

Exploring the limits of Hierarchical World Models in Reinforcement Learning. - Robin Schiewer; Anand Subramoney; Laurenz Wiskott (CoRR, 2024)

Hebbian Descent: A Unified View on Log-Likelihood Learning. - Jan Melchior; Robin Schiewer; Laurenz Wiskott (Neural Comput., 2024)

World model architectures in reinforcement learning: an exploration of strengths and limitations. - Robin Schiewer (2024)