TOAD-GAN: Coherent Style Level Generation from a Single Example. - Maren Awiszus; Frederik Schubert; Bodo Rosenhahn (AIIDE, 2020)

World-GAN: a Generative Model for Minecraft Worlds. - Maren Awiszus; Frederik Schubert; Bodo Rosenhahn (CoG, 2021)

Automatic Risk Adaptation in Distributional Reinforcement Learning. - Frederik Schubert; Theresa Eimer; Bodo Rosenhahn; Marius Lindauer (CoRR, 2021)

CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning. - Carolin Benjamins; Theresa Eimer; Frederik Schubert; André Biedenkapp; Bodo Rosenhahn; Frank Hutter; Marius Lindauer (CoRR, 2021)

ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing. - Christoph Reinders; Frederik Schubert; Bodo Rosenhahn (IJCAI, 2022)

Contextualize Me - The Case for Context in Reinforcement Learning. - Carolin Benjamins; Theresa Eimer; Frederik Schubert; Aditya Mohan; André Biedenkapp; Bodo Rosenhahn; Frank Hutter; Marius Lindauer (CoRR, 2022)

Image Classification on Small Datasets via Masked Feature Mixing. - Christoph Reinders; Frederik Schubert; Bodo Rosenhahn (CoRR, 2022)

TOAD-GAN: A Flexible Framework for Few-Shot Level Generation in Token-Based Games. - Frederik Schubert; Maren Awiszus; Bodo Rosenhahn (IEEE Trans. Games, 2022)

Contextualize Me - The Case for Context in Reinforcement Learning. - Carolin Benjamins; Theresa Eimer; Frederik Schubert; Aditya Mohan; Sebastian Döhler; André Biedenkapp; Bodo Rosenhahn; Frank Hutter; Marius Lindauer (Trans. Mach. Learn. Res., 2023)

POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning. - Frederik Schubert; Carolin Benjamins; Sebastian Döhler; Bodo Rosenhahn; Marius Lindauer (Trans. Mach. Learn. Res., 2023)

Wor(l)d-GAN: Toward Natural-Language-Based PCG in Minecraft. - Maren Awiszus; Frederik Schubert; Bodo Rosenhahn (IEEE Trans. Games, 2023)

Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games. - Yannik Mahlau; Frederik Schubert; Bodo Rosenhahn (ICML, 2024)

HydraMix: Multi-Image Feature Mixing for Small Data Image Classification. - Christoph Reinders; Frederik Schubert; Bodo Rosenhahn (CoRR, 2025)

Multi-Agent Reinforcement Learning for Inverse Design in Photonic Integrated Circuits. - Yannik Mahlau; Maximilian Schier; Christoph Reinders; Frederik Schubert; Marco Bügling; Bodo Rosenhahn (CoRR, 2025)