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Jan Manuel Wülfing
Jan Manuel Wülfing
DB InfraGO
Bestätigte E-Mail-Adresse bei deutschebahn.com
Titel
Zitiert von
Zitiert von
Jahr
A learned feature descriptor for object recognition in RGB-D data
M Blum, JT Springenberg, J Wülfing, M Riedmiller
2012 IEEE international conference on robotics and automation, 1298-1303, 2012
2682012
Approximate real-time optimal control based on sparse gaussian process models
J Boedecker, JT Springenberg, J Wülfing, M Riedmiller
2014 IEEE symposium on adaptive dynamic programming and reinforcement …, 2014
1062014
Unsupervised Learning of Local Features for Music Classification.
J Wülfing, MA Riedmiller
ISMIR, 139-144, 2012
602012
Autonomous optimization of targeted stimulation of neuronal networks
SS Kumar, J Wülfing, S Okujeni, J Boedecker, M Riedmiller, U Egert
PLoS computational biology 12 (8), e1005054, 2016
212016
Adaptive long-term control of biological neural networks with deep reinforcement learning
JM Wülfing, SS Kumar, J Boedecker, M Riedmiller, U Egert
Neurocomputing 342, 66-74, 2019
152019
Towards real time robot 6d localization in a polygonal indoor map based on 3d tof camera data
J Wülfing, J Hertzberg, K Lingemann, A Nüchter, T Wiemann, S Stiene
IFAC Proceedings Volumes 43 (16), 91-96, 2010
132010
On the applicability of unsupervised feature learning for object recognition in rgb-d data
M Blum, JT Springenberg, J Wülfing, M Riedmiller
NIPS Workshop on Deep Learning and Unsupervised Feature Learning, 2011
92011
Controlling biological neural networks with deep reinforcement learning.
J Wülfing, SS Kumar, J Boedecker, MA Riedmiller, U Egert
ESANN, 2018
22018
Autonomous control of network activity
SS Kumar, J Wülfing, J Boedecker, R Wimmer, M Riedmiller, B Becker, ...
Proc. of the 9th Int’l Meeting on Substrate-Integrated Microelectrode Arrays …, 2014
12014
Intelligent Railway Capacity and Traffic Management Using Multi-Agent Deep Reinforcement Learning
S Schneider, A Roets, C Stirbu, F Safaei, F Ghriss, J Wülfing, M Güral, ...
2024
Stable deep reinforcement learning
J Wülfing
Dissertation, Universität Freiburg, 2019, 2019
2019
Autonomous optimization of targeted stimulation of neuronal networks
S Saseendran Kumar, J Wülfing, S Okujeni, J Boedecker, M Riedmiller, ...
2016
Autonomous optimization of targeted stimulation of neuronal networks
U Egert, M Riedmiller, J Boedecker, J Wülfing, S Saseendran Kumar, ...
2016
A Machine Learning Based Approach to Control Network Activity
SS Kumar, J Wülfing, S Okujeni, J Boedecker, M Riedmiller, U Egert
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