Daniel Schneegaß

Publication Activity (10 Years)

Years Active: 2005-2009
Publications (10 Years): 0

University of Lübeck (PHD)

Education History

University of Lübeck

PHD

Publications

Daniel Schneegaß
On the bias of batch Bellman residual minimisation. Neurocomputing 72 (7-9) (2009)
Thomas Martinetz, Kai Labusch, Daniel Schneegaß
SoftDoubleMaxMinOver: Perceptron-Like Training of Support Vector Machines. IEEE Trans. Neural Networks 20 (7) (2009)
Alexander Hans, Daniel Schneegaß, Anton Maximilian Schäfer, Steffen Udluft
Safe exploration for reinforcement learning. ESANN (2008)
Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
Uncertainty propagation for quality assurance in Reinforcement Learning. IJCNN (2008)
Daniel Schneegaß, Anton Maximilian Schäfer, Thomas Martinetz
The Intrinsic Recurrent Support Vector Machine. ESANN (2007)
Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
Explicit Kernel Rewards Regression for data-efficient near-optimal policy identification. ESANN (2007)
Anton Maximilian Schäfer, Daniel Schneegaß, Volkmar Sterzing, Steffen Udluft
A Neural Reinforcement Learning Approach to Gas Turbine Control. IJCNN (2007)
Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environments. ESANN (2007)
Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification. ICANN (1) (2007)
Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
Kernel Rewards Regression: An Information Efficient Batch Policy Iteration Approach. Artificial Intelligence and Applications (2006)
Daniel Schneegaß, Thomas Martinetz, Michael Clausohm
OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method. ESANN (2006)
Daniel Schneegaß, Kai Labusch, Thomas Martinetz
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation. ICANN (1) (2006)
Thomas Martinetz, Kai Labusch, Daniel Schneegaß
SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification. ICANN (2) (2005)

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Publication Activity (10 Years)

Daniel Schneegaß