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Tom Haider
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2020 – today
- 2024
- [c8]Sven Gronauer, Tom Haider, Felippe Schmoeller da Roza, Klaus Diepold:
Reinforcement Learning with Ensemble Model Predictive Safety Certification. AAMAS 2024: 724-732 - [c7]Philipp Altmann, Julian Schönberger, Steffen Illium, Maximilian Zorn, Fabian Ritz, Tom Haider, Simon Burton, Thomas Gabor:
Emergence in Multi-agent Systems: A Safety Perspective. ISoLA (2) 2024: 104-120 - [c6]Tom Haider, Karsten Roscher, Benjamin Herd, Felippe Schmoeller Roza, Simon Burton:
Can you trust your Agent? The Effect of Out-of-Distribution Detection on the Safety of Reinforcement Learning Systems. SAC 2024: 1569-1578 - [i2]Sven Gronauer, Tom Haider, Felippe Schmoeller da Roza, Klaus Diepold:
Reinforcement Learning with Ensemble Model Predictive Safety Certification. CoRR abs/2402.04182 (2024) - [i1]Philipp Altmann, Julian Schönberger, Steffen Illium, Maximilian Zorn, Fabian Ritz, Tom Haider, Simon Burton, Thomas Gabor:
Emergence in Multi-Agent Systems: A Safety Perspective. CoRR abs/2408.04514 (2024) - 2023
- [c5]Tom Haider, Karsten Roscher, Felippe Schmoeller da Roza, Stephan Günnemann:
Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models. AAMAS 2023: 851-859 - 2022
- [c4]Robert Müller, Steffen Illium, Thomy Phan, Tom Haider, Claudia Linnhoff-Popien:
Towards Anomaly Detection in Reinforcement Learning. AAMAS 2022: 1799-1803 - [c3]Niklas Strauß, Max Berrendorf, Tom Haider, Matthias Schubert:
A Comparison of Ambulance Redeployment Systems on Real-World Data. ICDM (Workshops) 2022: 1-8 - 2021
- [c2]Tom Haider, Felippe Schmoeller Roza, Dirk Eilers, Karsten Roscher, Stephan Günnemann:
Domain Shifts in Reinforcement Learning: Identifying Disturbances in Environments. AISafety@IJCAI 2021 - [c1]Tom Haider, Florian Michahelles:
Human-machine collaboration on data annotation of images by semi-automatic labeling. MuC 2021: 552-556
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