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Jakob Rehrl — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jakob Rehrl
7
papers ·
11
citations ·
16
h-index
University of Salzburg · Fachhochschule Salzburg · Research Center Pharmaceutical Engineering (Austria)
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Most-cited papers
Python-Based Reinforcement Learning on Simulink Models
2024 · 7 citations
Multi-Objective Reinforcement Learning for Energy-Efficient Industrial Control
2025 · 2 citations
The Crucial Role of Problem Formulation in Real-World Reinforcement Learning
2025 · 2 citations
Safe Reinforcement Learning using Ideas from Model Predictive Control
2026
Reinforcement Learning for Optimal Experiment Design in Parameter Identification of Mechatronic Systems
2026
Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
2026
Comparison of Model Predictive Control and Proximal Policy Optimization for a 1-DOF Helicopter System
2024
Top co-authors
Simon Hirlaender
· 5
Georg Sch\"afer
· 4
Stefan Huber
· 4
Georg Schäfer
· 2
and Simon Hirlaender
· 1
Georg Schaefer
· 1
Hannes Unger
· 1
Julian Langschwert
· 1
Max Schirl
· 1
R. L. Seliger
· 1
Stefan Huber
· 1
Stefan Huber
· 1
Topics
Model-Based RL
Safe RL
Policy Gradient
Multi-Agent
Exploration
Value-Based