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Daniel D. Scherer — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Daniel D. Scherer
13
papers ·
82
citations ·
18
h-index
Fraunhofer Institute for Integrated Circuits
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
BCQQ: Batch-Constraint Quantum Q-Learning with Cyclic Data Re-uploading
2023 · 3 citations
Benchmarking Quantum Reinforcement Learning
2025 · 1 citations
Quantum Natural Policy Gradients: Towards Sample-Efficient Reinforcement Learning
2023
Top co-authors
Christopher Mutschler
· 3
Axel Plinge
· 2
Nico Meyer
· 2
and Michael J. Hartmann
· 1
Christian Ufrecht
· 1
George Yammine
· 1
Maniraman Periyasamy
· 1
Marc Hölle
· 1
Marco Wiedmann
· 1
Γεώργιος Κόντες
· 1
Topics
Value-Based
Model-Based RL
Meta-RL
Policy Gradient
Offline RL