Gebhardt, G.H.W.; Daun, K.; Schnaubelt, M.; Hendrich, A.; Kauth, D.; Neumann, G. (2042). Dummy Publication, Journal of Dummies.   See Details [Details]   BibTeX Reference [BibTex]

Gebhardt, G.H.W.; Kupcsik, A.G.; Neumann, G. (2017). The Kernel Kalman Rule - Efficient Nonparametric Inference with Recursive Least Squares, Proceedings of the National Conference on Artificial Intelligence (AAAI).   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gebhardt, G.H.W.; Daun, K.; Schnaubelt, M.; Hendrich, A.; Kauth, D.; Neumann, G. (2017). Learning to Assemble Objects with a Robot Swarm, Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems (AAMAS 17), pp.1547--1549, International Foundation for Autonomous Agents and Multiagent Systems.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gebhardt, G.H.W.; Kupcsik, A.; Neumann, G. (2015). Learning Subspace Conditional Embedding Operators, Large-Scale Kernel Learning Workshop at ICML 2015.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Gebhardt, G.H.W. (2014). Embedding Kalman Filters into Reproducing Kernel Hilbert Spaces, Master Thesis.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]

Amend, S.; Gebhardt, G.H.W. (2013). Learning to Serve and Bounce a Ball, Proceedings of Projektpraktikum Robot Learning.   See Details [Details]   Download Article [PDF]   BibTeX Reference [BibTex]
 

  

zum Seitenanfang