Folgen
Frederik Schubert
Frederik Schubert
Bestätigte E-Mail-Adresse bei tnt.uni-hannover.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
TOAD-GAN: coherent style level generation from a single example
M Awiszus, F Schubert, B Rosenhahn
AIIDE 2020 16 (1), 10-16, 2020
452020
Contextualize Me – The Case for Context in Reinforcement Learning
C Benjamins, T Eimer, F Schubert, A Mohan, A Biedenkapp, ...
Transactions on Machine Learning Research, TMLR, 2023
212023
CARL: A benchmark for contextual and adaptive reinforcement learning
C Benjamins, T Eimer, F Schubert, A Biedenkapp, B Rosenhahn, F Hutter, ...
Workshop on Ecological Theory of RL, NeurIPS 2021, 2021
212021
World-GAN: a Generative Model for Minecraft Worlds
M Awiszus, F Schubert, B Rosenhahn
IEEE Conference on Games 2021, 2021
212021
TOAD-GAN: a flexible framework for few-shot level generation in token-based games
F Schubert, M Awiszus, B Rosenhahn
IEEE Transactions on Games, 2021
162021
ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing
C Reinders, F Schubert, B Rosenhahn
IJCAI 2022, 2022
62022
Automatic Risk Adaptation in Distributional Reinforcement Learning
F Schubert, T Eimer, B Rosenhahn, M Lindauer
RL4RealLife Workshop, ICML 2021, 2021
62021
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning
F Schubert, C Benjamins, S Döhler, B Rosenhahn, M Lindauer
Transactions on Machine Learning Research, TMLR, 2023
32023
Wor(l)d-GAN: Towards Natural Language Based PCG in Minecraft
M Awiszus, F Schubert, B Rosenhahn
IEEE Transactions on Games, 2022
22022
Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games
Y Mahlau, F Schubert, B Rosenhahn
arXiv preprint arXiv:2402.03136, 2024
2024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–10