Frederik Schubert

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

IEEE Trans. Games, June, 2023

POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

2022

TOAD-GAN: A Flexible Framework for Few-Shot Level Generation in Token-Based Games.

[BibT_eX]

[DOI]

IEEE Trans. Games, 2022

Image Classification on Small Datasets via Masked Feature Mixing.

[BibT_eX]

[DOI]

Christoph Reinders

CoRR, 2022

Contextualize Me - The Case for Context in Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Christoph Reinders

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

2021

CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Automatic Risk Adaptation in Distributional Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

World-GAN: a Generative Model for Minecraft Worlds.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]