Ein evolutionstheoretisches Optimierungsverfahren für Multi-Layer-Perceptrons. - Wolfgang Rehm; Volkmar Sterzing (it Inf. Technol., 1992)

Recurrent neural networks for temporal learning of time series. - Volkmar Sterzing; B. Schürmann (ICNN, 1993)

A Neural Reinforcement Learning Approach to Gas Turbine Control. - Anton Maximilian Schäfer; Daniel Schneegaß; Volkmar Sterzing; Steffen Udluft (IJCNN, 2007)

Dateneffizientes Reinforcement-Learning. - Volkmar Sterzing; Steffen Udluft (Künstliche Intell., 2009)

Solving Partially Observable Reinforcement Learning Problems with Recurrent Neural Networks. - Siegmund Duell; Steffen Udluft; Volkmar Sterzing (Neural Networks: Tricks of the Trade (2nd ed.), 2012)

Introduction to the "Industrial Benchmark". - Daniel Hein 001; Alexander Hentschel; Volkmar Sterzing; Michel Tokic; Steffen Udluft (CoRR, 2016)

Batch reinforcement learning on the industrial benchmark: First experiences. - Daniel Hein 001; Steffen Udluft; Michel Tokic; Alexander Hentschel; Thomas A. Runkler; Volkmar Sterzing (IJCNN, 2017)

A benchmark environment motivated by industrial control problems. - Daniel Hein 001; Stefan Depeweg; Michel Tokic; Steffen Udluft; Alexander Hentschel; Thomas A. Runkler; Volkmar Sterzing (SSCI, 2017)

Learning Control Policies for Variable Objectives from Offline Data. - Marc Weber; Phillip Swazinna; Daniel Hein 001; Steffen Udluft; Volkmar Sterzing (SSCI, 2023)