| 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 | 268 | 2012 |
| 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 | 114 | 2014 |
| Unsupervised Learning of Local Features for Music Classification. J Wülfing, MA Riedmiller ISMIR, 139-144, 2012 | 60 | 2012 |
| 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 | 24 | 2016 |
| 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 | 22 | 2019 |
| 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 | 14 | 2010 |
| 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 | 9 | 2011 |
| Intelligent Railway Capacity and Traffic Management Using Multi-Agent Deep Reinforcement Learning S Schneider, A Ramesh, A Roets, C Stirbu, F Safaei, F Ghriss, J Wülfing, ... 2024 IEEE 27th International Conference on Intelligent Transportation …, 2024 | 6 | 2024 |
| Controlling biological neural networks with deep reinforcement learning. J Wülfing, SS Kumar, J Boedecker, MA Riedmiller, U Egert ESANN, 2018 | 2 | 2018 |
| 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 | 1 | 2014 |
| 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 |
| Multi-Agenten KI-Ansatz für ein ganzheitliches Verkehrsmanagementsystem S Schneider, A Roets, C Stirbu, F Safaei, F Ghriss, J Wülfing, M Güral, ... | | |
| A Machine Learning Based Approach to Control Network Activity SS Kumar, J Wülfing, S Okujeni, J Boedecker, M Riedmiller, U Egert | | |
Martin RiedmillerDeepMindVerified email at google.com
