Interpretable policies for reinforcement learning by genetic programming
Hein, Daniel, Udluft, Steffen, Runkler, Thomas A.
Published in Engineering applications of artificial intelligence (01.11.2018)
Published in Engineering applications of artificial intelligence (01.11.2018)
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Journal Article
Overcoming model bias for robust offline deep reinforcement learning
Swazinna, Phillip, Udluft, Steffen, Runkler, Thomas
Published in Engineering applications of artificial intelligence (01.09.2021)
Published in Engineering applications of artificial intelligence (01.09.2021)
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Journal Article
Datenbasierte Optimalsteuerung mit neuronalen Netzen und dateneffizientem Reinforcement Learning
Runkler, Thomas, Udluft, Steffen, Düll, Siegmund
Published in Automatisierungstechnik : AT (01.10.2012)
Published in Automatisierungstechnik : AT (01.10.2012)
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Journal Article
Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning
Swazinna, Phillip, Udluft, Steffen, Runkler, Thomas
Published in 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (05.12.2021)
Published in 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (05.12.2021)
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Conference Proceeding
Batch reinforcement learning on the industrial benchmark: First experiences
Hein, Daniel, Udluft, Steffen, Tokic, Michel, Hentschel, Alexander, Runkler, Thomas A., Sterzing, Volkmar
Published in 2017 International Joint Conference on Neural Networks (IJCNN) (01.05.2017)
Published in 2017 International Joint Conference on Neural Networks (IJCNN) (01.05.2017)
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Conference Proceeding
Uncertainty propagation for quality assurance in Reinforcement Learning
Schneegass, D., Udluft, S., Martinetz, T.
Published in 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) (01.06.2008)
Published in 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence) (01.06.2008)
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Conference Proceeding
Journal Article
Agent self-assessment: Determining policy quality without execution
Hans, A., Duell, S., Udluft, S.
Published in 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) (01.04.2011)
Published in 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL) (01.04.2011)
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Conference Proceeding