Daniel Schneegaß

14 papers B 7Journal 2Unranked 4
YearRankTypeTitle / Venue / Authors
2009 J jnl
On the bias of batch Bellman residual minimisation.
Neurocomputing
Daniel Schneegaß
2009 J jnl
SoftDoubleMaxMinOver: Perceptron-Like Training of Support Vector Machines.
IEEE Trans. Neural Networks
Thomas Martinetz, Kai Labusch, Daniel Schneegaß
2008 B conf
Safe exploration for reinforcement learning.
ESANN
Alexander Hans, Daniel Schneegaß, Anton Maximilian Schäfer, Steffen Udluft
2008 — —
Steigerung der Informationseffizienz im Reinforcement-Learning.
Daniel Schneegaß
2008 B conf
Uncertainty propagation for quality assurance in Reinforcement Learning.
IJCNN
Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
2007 B conf
A Neural Reinforcement Learning Approach to Gas Turbine Control.
IJCNN
Anton Maximilian Schäfer, Daniel Schneegaß, Volkmar Sterzing, Steffen Udluft
2007 B conf
Explicit Kernel Rewards Regression for data-efficient near-optimal policy identification.
ESANN
Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
2007 — conf
Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification.
ICANN (1)
Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
2007 B conf
Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environments.
ESANN
Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
2007 B conf
The Intrinsic Recurrent Support Vector Machine.
ESANN
Daniel Schneegaß, Anton Maximilian Schäfer, Thomas Martinetz
2006 — conf
Kernel Rewards Regression: An Information Efficient Batch Policy Iteration Approach.
Artificial Intelligence and Applications
Daniel Schneegaß, Steffen Udluft, Thomas Martinetz
2006 — conf
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation.
ICANN (1)
Daniel Schneegaß, Kai Labusch, Thomas Martinetz
2006 B conf
OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method.
ESANN
Daniel Schneegaß, Thomas Martinetz, Michael Clausohm
2005 — conf
SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification.
ICANN (2)
Thomas Martinetz, Kai Labusch, Daniel Schneegaß