Frederik Schubert left the Institut für Informationsverarbeitung.
Publications and research activities from the time after the departure are not listed here.

Frederik Schubert studied computer engineering at Leibniz University in Hannover. He completed his master's degree in July 2019 with a thesis entitled "Multi-Task Learning by Neural Transfer Reinforcement Learning".

He has been working on his doctorate at TNT since September 2019. His research focuses on Reinforcement Learning and Procedural Content Generation, but he has also done work on object detection, small data classification and the analysis of hyperspectral images.

Semantic Scene Analysis

AI Competition

Reinforcement Learning

Selected Publications

Show all publications

Other activities

Supervised Theses

Unsupervised Domain-Specific Pre-Training for Object Detection
Option Discovery in Hierarchical Reinforcement Learning
Defektprädiktion von Leiterplatten mit Verfahren der künstlichen Intelligenz
Wireframe Reconstruction from Single Images
Hyperbolic Embeddings in Distributional Reinforcement Learning
Implementation and Analysis of Sequential Model-Based Optimisation Methods for the Calibration of Numerical Groundwater Flow Models
Few-Shot Anomaly Detection Using Neural Cellular Automata
Feature-basierte Kombination von mehreren Bildern zur Klassifikation mit wenigen Trainingsbeispielen
Guided Diffusion Models with Few Training Examples
AlphaZero for Simultaneous Perfect-Information Games