Christof Nitsche

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 4

Top Topics

Reinforcement Learning

Bayesian Analysis

Top Venues

Neural Comput. Appl.

Publications

Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber
Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks. ICRA (2023)
Xinyang Wu, Elisabeth Wedernikow, Christof Nitsche, Marco F. Huber
Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning. IV (2023)
Xinyang Wu, Elisabeth Wedernikow, Christof Nitsche, Marco F. Huber
Towards Optimal Energy Management Strategy for Hybrid Electric Vehicle with Reinforcement Learning. CoRR (2023)
Philipp Bergmeir, Christof Nitsche, Jurgen Nonnast, Michael Bargende
Classifying component failures of a hybrid electric vehicle fleet based on load spectrum data - Balanced random forest approaches employing uni- and multivariate decision trees. Neural Comput. Appl. 27 (8) (2016)
Philipp Bergmeir, Christof Nitsche, Jurgen Nonnast, Michael Bargende, Peter Antony, Uwe Keller
Using Balanced Random Forests on Load Spectrum Data for Classifying Component Failures of a Hybrid Electric Vehicle Fleet. ICMLA (2014)
Frieder Herb, Achim Frank, Christof Nitsche, Andreas Jossen
Optimierung der Regelung zwischen Brennstoffzelle und Batterie in Bezug auf Komponentenalterung (Optimization of Fuel Cell and Battery Control in Relation to Component Aging of Fuel Cell Power Train). Autom. 57 (1) (2009)