Jan Manuel Wülfing

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Martin RiedmillerDeepMindVerifierad e-postadress på google.com
Joschka BoedeckerProfessor of Computer Science, University of Freiburg, GermanyVerifierad e-postadress på informatik.uni-freiburg.de
Manuel BlumUniversity of FreiburgVerifierad e-postadress på informatik.uni-freiburg.de
Ulrich EgertUniv. FreiburgVerifierad e-postadress på imtek.uni-freiburg.de
Sreedhar S KumarPostdoctoral Scientist, ETH ZürichVerifierad e-postadress på bsse.ethz.ch
Samora OkujeniBiomicrotechnology, Dept. for Microsystems Engineering, University FreiburgVerifierad e-postadress på biologie.uni-freiburg.de
Joachim HertzbergUniversity of Osnabrück and DFKI, OsnabrückVerifierad e-postadress på uos.de
Thomas WiemannProfessor of Robotics in Computer Science at Fulda University of Applied SciencesVerifierad e-postadress på informatik.hs-fulda.de
Andreas NüchterProfessor of Computer Science (Robotics), University of Würzburg, GermanyVerifierad e-postadress på nuechti.de
Kai LingemannDFKIVerifierad e-postadress på dfki.de
Stefan StieneUniversity of Applied Sciences OsnabrückVerifierad e-postadress på dfki.de
Jost Tobias SpringenbergGoogle DeepMind

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Jan Manuel Wülfing

DB InfraGO

Verifierad e-postadress på deutschebahn.com

Machine Learning Reinforcement Learning Deep Learning


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	105	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	21	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	15	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	13	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
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
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 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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