Folgen
Tom Haider
Tom Haider
Fraunhofer IKS
Bestätigte E-Mail-Adresse bei iks.fraunhofer.de
Titel
Zitiert von
Zitiert von
Jahr
Domain Shifts in Reinforcement Learning: Identifying Disturbances in Environments.
T Haider, FS Roza, D Eilers, K Roscher, S Günnemann
AISafety@ IJCAI, 2021
112021
Towards anomaly detection in reinforcement learning
R Müller, S Illium, T Phan, T Haider, C Linnhoff-Popien
Proceedings of the 21st International Conference on Autonomous Agents and …, 2022
92022
Out-of-Distribution Detection for Reinforcement Learning Agents with Probabilistic Dynamics Models
T Haider, K Roscher, F Schmoeller da Roza, S Günnemann
Proceedings of the 2023 International Conference on Autonomous Agents and …, 2023
42023
Human-machine collaboration on data annotation of images by semi-automatic labeling
T Haider, F Michahelles
Proceedings of Mensch und Computer 2021, 552-556, 2021
32021
Reinforcement Learning with Ensemble Model Predictive Safety Certification
S Gronauer, T Haider, FS da Roza, K Diepold
arXiv preprint arXiv:2402.04182, 2024
12024
A Comparison of Ambulance Redeployment Systems on Real-World Data
N Strauß, M Berrendorf, T Haider, M Schubert
2022 IEEE International Conference on Data Mining Workshops (ICDMW), 1-8, 2022
12022
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–6