Felix Berkenkamp

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Papers (12)

1. Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning eess.SY · 2019 · author #2
2. No-Regret Bayesian Optimization with Unknown Hyperparameters stat.ML · 2019 · author #1
3. Information-Directed Exploration for Deep Reinforcement Learning cs.LG · 2018 · author #3
4. Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy cs.LG · 2018 · author #2
5. The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems cs.SY · 2018 · author #2
6. Learning-based Model Predictive Control for Safe Exploration cs.SY · 2018 · author #2
7. Verifying Controllers Against Adversarial Examples with Bayesian Optimization cs.SY · 2018 · author #2
8. Safe Model-based Reinforcement Learning with Stability Guarantees stat.ML · 2017 · author #1
9. Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization cs.RO · 2017 · author #2
10. Safe Exploration in Finite Markov Decision Processes with Gaussian Processes cs.LG · 2016 · author #2
11. Safe Learning of Regions of Attraction for Uncertain, Nonlinear Systems with Gaussian Processes cs.SY · 2016 · author #1
12. Safe Controller Optimization for Quadrotors with Gaussian Processes cs.RO · 2015 · author #1

Mentions

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Frequent Coauthors

• Andreas Krause 11 shared papers
• Angela P. Schoellig 5 shared papers
• Matteo Turchetta 4 shared papers
• Torsten Koller 2 shared papers
• Alonso Marco 1 shared papers
• Ashish Kapoor 1 shared papers
• Gireeja Ranade 1 shared papers
• Jan Poland 1 shared papers
• Johannes Kirschner 1 shared papers
• Joschka Boedecker 1 shared papers
• Nikolay Nikolov 1 shared papers
• Philipp Hennig 1 shared papers
• Riccardo Moriconi 1 shared papers
• Robin Spiess 1 shared papers
• Sebastian Trimpe 1 shared papers
• Shaz Qadeer 1 shared papers
• Shromona Ghosh 1 shared papers
• Spencer M. Richards 1 shared papers
• Stefan Schaal 1 shared papers