Alexander Hentschel

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 13

Top Topics

Markov Decision Problems

Recurrent Neural Networks

Control Problems

Reinforcement Learning

Top Venues

Int. J. Swarm Intell. Res.

Eng. Appl. Artif. Intell.

Publications

Stefan Pillwein, Alexander Hentschel, Markus Lukacevic, Przemyslaw Musialski
Geometric Guidance for the Deployment of Elastic Geodesic Grids. CoRR (2023)
Alexander Hentschel, Yahya Hassanzadeh-Nazarabadi, Ramtin Seraj, Dieter Shirley, Layne Lafrance
Flow: Separating Consensus and Compute - Block Formation and Execution. CoRR (2020)
Alexander Hentschel, Dieter Shirley, Layne Lafrance
Flow: Separating Consensus and Compute. CoRR (2019)
Alexander Hentschel, Dieter Shirley, Layne Lafrance, Maor Zamski
Flow: Separating Consensus and Compute - Execution Verification. CoRR (2019)
Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
Batch Reinforcement Learning on the Industrial Benchmark: First Experiences. CoRR (2017)
Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
Batch reinforcement learning on the industrial benchmark: First experiences. IJCNN (2017)
Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
A Benchmark Environment Motivated by Industrial Control Problems. CoRR (2017)
Daniel Hein, Alexander Hentschel, Thomas A. Runkler, Steffen Udluft
Particle swarm optimization for generating interpretable fuzzy reinforcement learning policies. Eng. Appl. Artif. Intell. 65 (2017)
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)
Daniel Hein, Alexander Hentschel, Volkmar Sterzing, Michel Tokic, Steffen Udluft
Introduction to the "Industrial Benchmark". CoRR (2016)
Daniel Hein, Alexander Hentschel, Thomas A. Runkler, Steffen Udluft
Reinforcement Learning with Particle Swarm Optimization Policy (PSO-P) in Continuous State and Action Spaces. Int. J. Swarm Intell. Res. 7 (3) (2016)
Daniel Hein, Alexander Hentschel, Thomas A. Runkler, Steffen Udluft
Particle Swarm Optimization for Generating Fuzzy Reinforcement Learning Policies. CoRR (2016)
Sigurd Spieckermann, Siegmund Düll, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler
Exploiting similarity in system identification tasks with recurrent neural networks. Neurocomputing 169 (2015)
Sigurd Spieckermann, Siegmund Düll, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler
Exploiting similarity in system identification tasks with recurrent neural networks. ESANN (2014)
Alexander Hentschel, Barry C. Sanders
Machine Learning for Adaptive Quantum Measurement. ITNG (2010)