Analyzing Exact Output Regions of Reinforcement Learning Policy Neural Networks for High-Dimensional Input-Output Spaces. - Torben Logemann; Eric M. S. P. Veith (EXPLAINS, 2024)

Play With Me: Towards Explaining the Benefits of Autocurriculum Training of Learning Agents. - Eric MSP Veith; Torben Logemann; Arlena Wellßow; Stephan Balduin (ISGT EUROPE, 2024)

Trajectory Generation Model: Building a Simulation Link Between Expert Knowledge and Offline Learning. - Arlena Wellßow; Torben Logemann; Eric M. S. P. Veith (SIMULTECH, 2024)

Imitation Game: A Model-based and Imitation Learning Deep Reinforcement Learning Hybrid. - Eric M. S. P. Veith; Torben Logemann; Aleksandr Berezin; Arlena Wellßow; Stephan Balduin (CoRR, 2024)

Cover Me: Mitigating Multi-Agent System Failure through Reinforcement Learning - A Technology Demonstration. - Eric M. S. P. Veith; Arlena Wellßow; Torben Logemann; Emilie Frost (e-Energy, 2025)