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ORCIDVolkmar Sterzing
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2020 – today
- 2023
[c5]Marc Weber, Phillip Swazinna, Daniel Hein, Steffen Udluft, Volkmar Sterzing:
Learning Control Policies for Variable Objectives from Offline Data. SSCI 2023: 1674-1681- [i4]Marc Weber, Phillip Swazinna, Daniel Hein, Steffen Udluft, Volkmar Sterzing:
Learning Control Policies for Variable Objectives from Offline Data. CoRR abs/2308.06127 (2023)
2010 – 2019
- 2017
- [c4]Daniel Hein
, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
Batch reinforcement learning on the industrial benchmark: First experiences. IJCNN 2017: 4214-4221 - [c3]Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
A benchmark environment motivated by industrial control problems. SSCI 2017: 1-8 - [i3]Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
Batch Reinforcement Learning on the Industrial Benchmark: First Experiences. CoRR abs/1705.07262 (2017) - [i2]Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing:
A Benchmark Environment Motivated by Industrial Control Problems. CoRR abs/1709.09480 (2017) - 2016
- [i1]Daniel Hein, Alexander Hentschel, Volkmar Sterzing, Michel Tokic, Steffen Udluft:
Introduction to the "Industrial Benchmark". CoRR abs/1610.03793 (2016) - 2012
- [p1]Siegmund Duell, Steffen Udluft, Volkmar Sterzing:
Solving Partially Observable Reinforcement Learning Problems with Recurrent Neural Networks. Neural Networks: Tricks of the Trade (2nd ed.) 2012: 709-733
2000 – 2009
- 2009
- [j2]Volkmar Sterzing, Steffen Udluft:
Dateneffizientes Reinforcement-Learning. Künstliche Intell. 23(3): 19-22 (2009) - 2007
- [c2]Anton Maximilian Schäfer, Daniel Schneegaß, Volkmar Sterzing, Steffen Udluft:
A Neural Reinforcement Learning Approach to Gas Turbine Control. IJCNN 2007: 1691-1696
1990 – 1999
- 1993
- [c1]Volkmar Sterzing, B. Schürmann:
Recurrent neural networks for temporal learning of time series. ICNN 1993: 843-850 - 1992
- [j1]Wolfgang Rehm, Volkmar Sterzing:
Ein evolutionstheoretisches Optimierungsverfahren für Multi-Layer-Perceptrons. it Inf. Technol. 34(5): 307-312 (1992)
Coauthor Index
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