Daniel Hein
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
7
Active years
2007–2026
Best venue rank
National
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ESANN | Point-wise Q-value maximization for converging Q-learning in continuous state-spaces. | Philipp Wissmann, Daniel Hein, Steffen Udluft, Thomas A. Runkler |
| 2026 | ESANN | Efficient and Resilient Machine Learning for Industrial Applications. | Philipp Wissmann, Philip Naumann, Daniel Hein, Steffen Udluft, Marc Weber, Simon Leszek, Thomas A. Runkler |
| 2025 | ESANN | Is Q-learning an Ill-posed Problem? | Philipp Wissmann, Daniel Hein, Steffen Udluft, Thomas A. Runkler |
| 2025 | IECON | Enhancing Power Converter Efficiency with Reinforcement Learning-Based PWM Control. | Gopal Mondal, Steffen Limmer, Daniel Hein |
| 2025 | QCE | From Classical Data to Quantum Advantage - Quantum Policy Evaluation on Quantum Hardware. | Daniel Hein, Simon Wiedemann, Markus Baumann, Patrik Felbinger, Justin Klein, Maximilian Schieder, Jonas Stein, Danille Schuman, Thomas Cope, Steffen Udluft |
| 2025 | QCE | Variational Quantum Circuits in Offline Contextual Bandit Problems. | Lukas Schulte, Daniel Hein, Steffen Udluft, Thomas A. Runkler |
| 2025 | QCE | First Experience with Real-Time Control Using Simulated VQC-Based Quantum Policies. | Yize Sun, Mohamad Hagog, Marc Weber, Daniel Hein, Steffen Udluft, Yunpu Ma, Volker Tresp |
| 2025 | QCE | Learning Control with Simulated Variational Quantum Policies in a Surrogate Cart-Pole Environment. | Yize Sun, Mohamad Hagog, Marc Weber, Daniel Hein, Steffen Udluft, Yunpu Ma, Volker Tresp |
| 2024 | ESANN | Why long model-based rollouts are no reason for bad Q-value estimates. | Philipp Wissmann, Daniel Hein, Steffen Udluft, Volker Tresp |
| 2024 | QCE | Model-Based Offline Quantum Reinforcement Learning. | Simon Eisenmann, Daniel Hein, Steffen Udluft, Thomas A. Runkler |
| 2023 | QCE | Workshop Summary: Quantum Machine Learning. | Volker Tresp, Steffen Udluft, Daniel Hein, Werner Hauptmann, Martin Leib, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer |
| 2021 | ESANN | Behavior Constraining in Weight Space for Offline Reinforcement Learning. | Phillip Swazinna, Steffen Udluft, Daniel Hein, Thomas A. Runkler |
| 2021 | GECCO | Trustworthy AI for process automation on a Chylla-Haase polymerization reactor. | Daniel Hein, Daniel Labisch |
| 2019 | GECCO | Generating interpretable reinforcement learning policies using genetic programming. | Daniel Hein, Steffen Udluft, Thomas A. Runkler |
| 2018 | GECCO | Generating interpretable fuzzy controllers using particle swarm optimization and genetic programming. | Daniel Hein, Steffen Udluft, Thomas A. Runkler |
| 2018 | ICIS | What Drives the Adoption of Autonomous Cars? | Daniel Hein, Philipp A. Rauschnabel, Jun He, Lars Richter, Bjrn Sven Ivens |
| 2017 | ICIS | From CRM-System-Effectiveness to Profitability. | Daniel Hein, Bjrn Sven Ivens, Alexander Leischnig, Steffen Wlfl |
| 2017 | ICIS | From Digital Business Strategy to Market Performance: Insights into Key Concepts and Processes. | Alexander Leischnig, Steffen Wlfl, Bjrn Sven Ivens, Daniel Hein |
| 2017 | ICIS | Analytics, Innovativeness, and Innovation Performance. | Steffen Wlfl, Alexander Leischnig, Bjrn Sven Ivens, Daniel Hein |
| 2017 | IJCNN | Batch reinforcement learning on the industrial benchmark: First experiences. | Daniel Hein, Steffen Udluft, Michel Tokic, Alexander Hentschel, Thomas A. Runkler, Volkmar Sterzing |
| 2007 | RoboCup | Evolution of Biped Walking Using Neural Oscillators and Physical Simulation. | Daniel Hein, Manfred Hild, Ralf Berger |