Scholar
Georg Schäfer
Google Scholar ID: DEDGj8gAAAAJ
Salzburg University of Applied Sciences
Reinforcement Learning
Cyber-Physical Systems
Industry 4.0
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Citations & Impact
All-time
Citations
51
H-index
5
i10-index
0
Publications
15
Co-authors
0
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Publications
5 items
Safe Reinforcement Learning using Ideas from Model Predictive Control
2026
Cited
0
Sample-Efficient Pareto Front Modeling for Energy-Aware Reinforcement Learning Using Bayesian Optimization
2026
Cited
0
Anticipatory Reinforcement Learning for Trajectory Tracking
2026
Cited
0
Integrating Physics-Informed Neural Networks for Safe Reinforcement Learning in a 1-DoF Helicopter System
2026
Cited
0
Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
2026
Cited
0
Resume (English only)
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0 total
Co-authors: 0 (list not available)