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• Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks
  2016 · 60 citations
• Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning
  2022 · 24 citations
• Introduction to the "Industrial Benchmark"
  2016 · 5 citations
• Measuring Data Quality for Dataset Selection in Offline Reinforcement Learning
  2021 · 4 citations
• Quantum Policy Iteration via Amplitude Estimation and Grover Search -- Towards Quantum Advantage for Reinforcement Learning
  2022 · 4 citations
• Safe Policy Improvement Approaches on Discrete Markov Decision Processes
  2022 · 3 citations
• User-Interactive Offline Reinforcement Learning
  2022 · 3 citations
• Safe Policy Improvement Approaches and their Limitations
  2022 · 2 citations
• Learning Control Policies for Variable Objectives from Offline Data
  2023 · 2 citations
• Why long model-based rollouts are no reason for bad Q-value estimates
  2024 · 1 citations
• Is Q-learning an Ill-posed Problem?
  2025
• TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning
  2024
• Automatic Trade-off Adaptation in Offline RL
  2023
• Model-based Offline Quantum Reinforcement Learning
  2024