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Journal Articles
- 2023
[j4]Maren Awiszus, Frederik Schubert
, Bodo Rosenhahn:
Wor(l)d-GAN: Toward Natural-Language-Based PCG in Minecraft. IEEE Trans. Games 15(2): 182-192 (2023)- [j3]Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, Sebastian Döhler, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer:
Contextualize Me - The Case for Context in Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [j2]Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer:
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j1]Frederik Schubert, Maren Awiszus, Bodo Rosenhahn:
TOAD-GAN: A Flexible Framework for Few-Shot Level Generation in Token-Based Games. IEEE Trans. Games 14(2): 284-293 (2022)
Conference and Workshop Papers
- 2024
- [c4]Yannik Mahlau, Frederik Schubert, Bodo Rosenhahn:
Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games. ICML 2024 - 2022
- [c3]Christoph Reinders, Frederik Schubert, Bodo Rosenhahn:
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing. IJCAI 2022: 1298-1305 - 2021
- [c2]Maren Awiszus, Frederik Schubert, Bodo Rosenhahn:
World-GAN: a Generative Model for Minecraft Worlds. CoG 2021: 1-8 - 2020
- [c1]Maren Awiszus, Frederik Schubert, Bodo Rosenhahn:
TOAD-GAN: Coherent Style Level Generation from a Single Example. AIIDE 2020: 10-16
Informal and Other Publications
- 2024
- [i8]Yannik Mahlau, Frederik Schubert, Bodo Rosenhahn:
Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games. CoRR abs/2402.03136 (2024) - 2022
- [i7]Carolin Benjamins, Theresa Eimer, Frederik Schubert, Aditya Mohan, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer:
Contextualize Me - The Case for Context in Reinforcement Learning. CoRR abs/2202.04500 (2022) - [i6]Christoph Reinders, Frederik Schubert, Bodo Rosenhahn:
Image Classification on Small Datasets via Masked Feature Mixing. CoRR abs/2202.11616 (2022) - [i5]Frederik Schubert, Carolin Benjamins, Sebastian Döhler, Bodo Rosenhahn, Marius Lindauer:
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning. CoRR abs/2205.11357 (2022) - 2021
- [i4]Frederik Schubert, Theresa Eimer, Bodo Rosenhahn, Marius Lindauer:
Automatic Risk Adaptation in Distributional Reinforcement Learning. CoRR abs/2106.06317 (2021) - [i3]Maren Awiszus, Frederik Schubert, Bodo Rosenhahn:
World-GAN: a Generative Model for Minecraft Worlds. CoRR abs/2106.10155 (2021) - [i2]Carolin Benjamins, Theresa Eimer, Frederik Schubert, André Biedenkapp, Bodo Rosenhahn, Frank Hutter, Marius Lindauer:
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning. CoRR abs/2110.02102 (2021) - 2020
- [i1]Maren Awiszus, Frederik Schubert, Bodo Rosenhahn:
TOAD-GAN: Coherent Style Level Generation from a Single Example. CoRR abs/2008.01531 (2020)
Coauthor Index
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