Alexander Hentschel

19 papers B 2C 2Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Geometric guidance for globally synchronized deployment of elastic geodesic grids.
Comput. Aided Geom. Des.
Stefan Pillwein, Alexander Hentschel, Markus Lukacevic, Przemyslaw Musialski
2023 J jnl
Geometric Guidance for the Deployment of Elastic Geodesic Grids.
CoRR
Stefan Pillwein, Alexander Hentschel, Markus Lukacevic, Przemyslaw Musialski
2020 J jnl
Flow: Separating Consensus and Compute - Block Formation and Execution.
CoRR
Alexander Hentschel, Yahya Hassanzadeh-Nazarabadi, Ramtin Seraj, Dieter Shirley, Layne Lafrance
2019 J jnl
Flow: Separating Consensus and Compute - Execution Verification.
CoRR
Alexander Hentschel, Dieter Shirley, Layne Lafrance, Maor Zamski
2019 J jnl
Flow: Separating Consensus and Compute.
CoRR
Alexander Hentschel, Dieter Shirley, Layne Lafrance
2017 J jnl
A Benchmark Environment Motivated by Industrial Control Problems.
CoRR
Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
2017 — conf
A benchmark environment motivated by industrial control problems.
SSCI
Daniel Hein, Stefan Depeweg, Michel Tokic, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
2017 J jnl
Batch Reinforcement Learning on the Industrial Benchmark: First Experiences.
CoRR
Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
2017 B conf
Batch reinforcement learning on the industrial benchmark: First experiences.
IJCNN
Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing
2017 J jnl
Particle swarm optimization for generating interpretable fuzzy reinforcement learning policies.
Eng. Appl. Artif. Intell.
Daniel Hein, Alexander Hentschel, Thomas A. Runkler, Steffen Udluft
2016 J jnl
Introduction to the "Industrial Benchmark".
CoRR
Daniel Hein, Alexander Hentschel, Volkmar Sterzing, Michel Tokic, Steffen Udluft
2016 J jnl
Particle Swarm Optimization for Generating Fuzzy Reinforcement Learning Policies.
CoRR
Daniel Hein, Alexander Hentschel, Thomas A. Runkler, Steffen Udluft
2016 J jnl
Reinforcement Learning with Particle Swarm Optimization Policy (PSO-P) in Continuous State and Action Spaces.
Int. J. Swarm Intell. Res.
Daniel Hein, Alexander Hentschel, Thomas A. Runkler, Steffen Udluft
2015 J jnl
Exploiting similarity in system identification tasks with recurrent neural networks.
Neurocomputing
Sigurd Spieckermann, Siegmund Düll, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler
2014 B conf
Exploiting similarity in system identification tasks with recurrent neural networks.
ESANN
Sigurd Spieckermann, Siegmund Düll, Steffen Udluft, Alexander Hentschel, Thomas A. Runkler
2010 — conf
Machine Learning for Adaptive Quantum Measurement.
ITNG
Alexander Hentschel, Barry C. Sanders
2008 C conf
On the Relation between External Software Quality and Static Code Analysis.
SEW
Reinhold Plösch, Harald Gruber, Alexander Hentschel, Gustav Pomberger, Stefan Schiffer
2008 J jnl
The EMISQ method and its tool support-expert-based evaluation of internal software quality.
Innov. Syst. Softw. Eng.
Reinhold Plösch, Harald Gruber, Alexander Hentschel, Christian Körner, Gustav Pomberger, Stefan Schiffer, Matthias Saft, Stephan Storck
2007 C conf
The EMISQ Method - Expert Based Evaluation of Internal Software Quality.
SEW
Reinhold Plösch, Harald Gruber, Alexander Hentschel, Christian Körner, Gustav Pomberger, Stefan Schiffer, Matthias Saft, Stephan Storck