A learned feature descriptor for object recognition in RGB-D data. - Manuel Blum 002; Jost Tobias Springenberg; Jan Wülfing; Martin A. Riedmiller (ICRA, 2012)

Unsupervised Learning of Local Features for Music Classification. - Jan Wülfing; Martin A. Riedmiller (ISMIR, 2012)

Approximate real-time optimal control based on sparse Gaussian process models. - Joschka Boedecker; Jost Tobias Springenberg; Jan Wülfing; Martin A. Riedmiller (ADPRL, 2014)

Autonomous Optimization of Targeted Stimulation of Neuronal Networks. - Sreedhar S. Kumar; Jan Wülfing; Samora Okujeni; Joschka Boedecker; Martin A. Riedmiller; Ulrich Egert (PLoS Comput. Biol., 2016)

Controlling biological neural networks with deep reinforcement learning. - Jan Wülfing; Sreedhar S. Kumar; Joschka Boedecker; Martin A. Riedmiller; Ulrich Egert (ESANN, 2018)

Adaptive long-term control of biological neural networks with Deep Reinforcement Learning. - Jan M. Wülfing; Sreedhar S. Kumar; Joschka Boedecker; Martin A. Riedmiller; Ulrich Egert (Neurocomputing, 2019)

Stable deep reinforcement learning. - Jan Wülfing (2019)

Intelligent Railway Capacity and Traffic Management Using Multi-Agent Deep Reinforcement Learning. - Stefan Schneider; Anirudha Ramesh; Anne Roets; Ciprian Stirbu; Farhad Safaei; Faten Ghriss; Jan Wülfing; Mehmet Güra; Nima Sibon; Rick Gentry; Roman Liessner; Thomas Hustache; et al. (ITSC, 2024)