Frederik Schubert

According to our database, Frederik Schubert authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mastering Zero-Shot Interactions in Cooperative and Competitive Simultaneous Games.

Yannik Mahlau, Frederik Schubert, Bodo Rosenhahn

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Wor(l)d-GAN: Toward Natural-Language-Based PCG in Minecraft.

Maren Awiszus, Frederik Schubert, Bodo Rosenhahn

IEEE Trans. Games, June, 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

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

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

Image Classification on Small Datasets via Masked Feature Mixing.

Christoph Reinders, Frederik Schubert, Bodo Rosenhahn

CoRR, 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

ChimeraMix: Image Classification on Small Datasets via Masked Feature Mixing.

Christoph Reinders, Frederik Schubert, Bodo Rosenhahn

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

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

Automatic Risk Adaptation in Distributional Reinforcement Learning.

Frederik Schubert, Theresa Eimer, Bodo Rosenhahn, Marius Lindauer

CoRR, 2021

World-GAN: a Generative Model for Minecraft Worlds.

Maren Awiszus, Frederik Schubert, Bodo Rosenhahn

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

TOAD-GAN: Coherent Style Level Generation from a Single Example.

Maren Awiszus, Frederik Schubert, Bodo Rosenhahn

Proceedings of the Sixteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2020