Steffen Udluft - researchr alias

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2010

Uncertainty Propagation for Efficient Exploration in Reinforcement LearningAlexander Hans, Steffen Udluft. ecai 2010: 361-366 [doi]

Ensembles of Neural Networks for Robust Reinforcement LearningAlexander Hans, Steffen Udluft. icmla 2010: 401-406 [doi]

2009

Efficient Uncertainty Propagation for Reinforcement Learning with Limited DataAlexander Hans, Steffen Udluft. icann 2009: 70-79 [doi]

2008

Safe exploration for reinforcement learningAlexander Hans, Daniel Schneegaß, Anton Maximilian Schäfer, Steffen Udluft. esann 2008: 143-148 [doi]

Uncertainty propagation for quality assurance in Reinforcement LearningDaniel Schneegaß, Steffen Udluft, Thomas Martinetz. ijcnn 2008: 2588-2595 [doi]

2007

Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy IdentificationDaniel Schneegaß, Steffen Udluft, Thomas Martinetz. icann 2007: 109-118 [doi]

Explicit Kernel Rewards Regression for data-efficient near-optimal policy identificationDaniel Schneegaß, Steffen Udluft, Thomas Martinetz. esann 2007: 337-342 [doi]

Neural Rewards Regression for near-optimal policy identification in Markovian and partial observable environmentsDaniel Schneegaß, Steffen Udluft, Thomas Martinetz. esann 2007: 301-306 [doi]

The Recurrent Control Neural NetworkAnton Maximilian Schäfer, Steffen Udluft, Hans-Georg Zimmermann. esann 2007: 319-324 [doi]

A Neural Reinforcement Learning Approach to Gas Turbine ControlAnton Maximilian Schäfer, Daniel Schneegaß, Volkmar Sterzing, Steffen Udluft. ijcnn 2007: 1691-1696 [doi]

2006

Kernel Rewards Regression: An Information Efficient Batch Policy Iteration ApproachDaniel Schneegaß, Steffen Udluft, Thomas Martinetz. aia 2006: 428-433

Learning Long Term Dependencies with Recurrent Neural NetworksAnton Maximilian Schäfer, Steffen Udluft, Hans-Georg Zimmermann. icann 2006: 71-80 [doi]