Domain Shifts in Reinforcement Learning: Identifying Disturbances in Environments. - Tom Haider; Felippe Schmoeller Roza; Dirk Eilers; Karsten Roscher; Stephan Günnemann (AISafety@IJCAI, 2021)

Human-machine collaboration on data annotation of images by semi-automatic labeling. - Tom Haider; Florian Michahelles (MuC, 2021)

Towards Anomaly Detection in Reinforcement Learning. - Robert Müller 005; Steffen Illium; Thomy Phan; Tom Haider; Claudia Linnhoff-Popien (AAMAS, 2022)

A Comparison of Ambulance Redeployment Systems on Real-World Data. - Niklas Strauß; Max Berrendorf; Tom Haider; Matthias Schubert (ICDM (Workshops), 2022)

Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models. - Tom Haider; Karsten Roscher; Felippe Schmoeller da Roza; Stephan Günnemann (AAMAS, 2023)

Reinforcement Learning with Ensemble Model Predictive Safety Certification. - Sven Gronauer; Tom Haider; Felippe Schmoeller da Roza; Klaus Diepold (AAMAS, 2024)

Emergence in Multi-agent Systems: A Safety Perspective. - Philipp Altmann; Julian Schönberger; Steffen Illium; Maximilian Zorn; Fabian Ritz; Tom Haider; Simon Burton 001; Thomas Gabor (ISoLA (2), 2024)

Can you trust your Agent? The Effect of Out-of-Distribution Detection on the Safety of Reinforcement Learning Systems. - Tom Haider; Karsten Roscher; Benjamin Herd; Felippe Schmoeller Roza; Simon Burton 001 (SAC, 2024)

Quantum Multi-Agent Reinforcement Learning for Aerial Ad-Hoc Networks. - Theodora-Augustina Dragan; Akshat Tandon; Tom Haider; Carsten Strobel; Jasper Simon Krauser; Jeanette Miriam Lorenz (ICAART (1), 2025)