Daniel Schneegaß

Siemens (Germany) — Germany

Computer Science · Physical Sciences

7h-index184citations16works0.02yr avg
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Research Topics

Reinforcement Learning in Robotics(7), Neural Networks and Applications(6), Advanced Control Systems Optimization(4), Face and Expression Recognition(3), Control Systems and Identification(3)

Publications16 total

A Search for the Underlying Equation Governing Similar Systems
arXiv (Cornell University)·2019Open Access
Uncertainty in Reinforcement Learning - Awareness, Quantisation, and Control
Sciyo eBooks·2010· 4 citedOpen Access
SoftDoubleMaxMinOver: Perceptron-Like Training of Support Vector Machines
IEEE Transactions on Neural Networks·2009· 11 cited
On the bias of batch Bellman residual minimisation
Neurocomputing·2009· 1 cited
Uncertainty propagation for quality assurance in Reinforcement Learning
2008· 8 cited
Safe exploration for reinforcement learning.
The European Symposium on Artificial Neural Networks·2008· 82 cited
A Neural Reinforcement Learning Approach to Gas Turbine Control
IEEE International Conference on Neural Networks/IEEE ... International Conference on Neural Networks·2007· 33 cited
Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification
Lecture notes in computer science·2007· 14 cited
A NeuralReinforcement Learning Approach toGasTurbine Control
2007
The Intrinsic Recurrent Support Vector Machine
2007· 5 cited
Neural Rewards Regression for Near-optimal Policy Identification in Markovian and Partial Observable Environments
2007· 9 cited
Explicit Kernel Rewards Regression for Data-efficient Near-optimal Policy Identification
2007
Kernel rewards regression: an information efficient batch policy iteration approach
2006· 8 cited
OnlineDoubleMaxMinOver: a simple approximate time and information efficient online Support Vector Classification method.
The European Symposium on Artificial Neural Networks·2006· 1 cited
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation
Lecture notes in computer science·2006· 1 cited
SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification
Lecture notes in computer science·2005· 7 cited

Frequent Co-authors

Thomas Martinetz(10), Steffen Udluft(8), Kai Labusch(3), Alexander Hans(2), Anton Maximilian Schäfer(2), Volkmar Sterzing(2), Anton Maximilian Schaefer(1), Michael Clausohm(1), AntonMaximilian Schaefer(1), T. Lohse(1), Pengwei Tian(1)