Felix Berkenkamp

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 49

Top Topics

Markov Decision Processes

Reinforcement Learning

Top Venues

Publications

Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Information-Theoretic Safe Bayesian Optimization. CoRR (2024)
Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp
Scalable Meta-Learning with Gaussian Processes. AISTATS (2024)
Melrose Roderick, Gaurav Manek, Felix Berkenkamp, J. Zico Kolter
Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning. CoRR (2023)
Felix Berkenkamp, Andreas Krause, Angela P. Schoellig
Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics. Mach. Learn. 112 (10) (2023)
Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization. CoRR (2023)
Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Model-Based Uncertainty in Value Functions. CoRR (2023)
Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Value-Distributional Model-Based Reinforcement Learning. CoRR (2023)
Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Model-Based Uncertainty in Value Functions. AISTATS (2023)
Jiarong Pan, Stefan Falkner, Felix Berkenkamp, Joaquin Vanschoren
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. CoRR (2023)
Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp
Scalable Meta-Learning with Gaussian Processes. CoRR (2023)
Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, Zico Kolter
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation. CoRR (2023)
Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska
Transfer Learning with Gaussian Processes for Bayesian Optimization. AISTATS (2022)
Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp
On-Policy Model Errors in Reinforcement Learning. ICLR (2022)
Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Information-Theoretic Safe Exploration with Gaussian Processes. CoRR (2022)
Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters
Information-Theoretic Safe Exploration with Gaussian Processes. NeurIPS (2022)
Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska
Transfer Learning with Gaussian Processes for Bayesian Optimization. CoRR (2021)
Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp
On-Policy Model Errors in Reinforcement Learning. CoRR (2021)
Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning. ICLR (2020)
Sebastian Curi, Felix Berkenkamp, Andreas Krause
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning. CoRR (2020)
Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning. CoRR (2020)
Sebastian Curi, Silvan Melchior, Felix Berkenkamp, Andreas Krause
Structured Variational Inference in Partially Observable UnstableGaussian Process State Space Models. L4DC (2020)
Sebastian Curi, Felix Berkenkamp, Andreas Krause
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning. NeurIPS (2020)
Felix Berkenkamp, Angela P. Schoellig, Andreas Krause
No-Regret Bayesian Optimization with Unknown Hyperparameters. J. Mach. Learn. Res. 20 (2019)
Silvan Melchior, Felix Berkenkamp, Sebastian Curi, Andreas Krause
Structured Variational Inference in Unstable Gaussian Process State Space Models. CoRR (2019)
Matteo Turchetta, Felix Berkenkamp, Andreas Krause
Safe Exploration for Interactive Machine Learning. NeurIPS (2019)
Robin Spiess, Felix Berkenkamp, Andreas Krause, Jan Poland
Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy. ECC (2019)
Matteo Turchetta, Felix Berkenkamp, Andreas Krause
Safe Exploration for Interactive Machine Learning. CoRR (2019)
Felix Berkenkamp, Angela P. Schoellig, Andreas Krause
No-regret Bayesian Optimization with Unknown Hyperparameters. CoRR (2019)
Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp, Andreas Krause
Information-Directed Exploration for Deep Reinforcement Learning. ICLR (Poster) (2019)
Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Joschka Boedecker, Andreas Krause
Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning. CoRR (2019)
Spencer M. Richards, Felix Berkenkamp, Andreas Krause
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems. CoRL (2018)
Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor
Verifying Controllers Against Adversarial Examples with Bayesian Optimization. ICRA (2018)
Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Andreas Krause
Learning-Based Model Predictive Control for Safe Exploration. CDC (2018)
Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp, Andreas Krause
Information-Directed Exploration for Deep Reinforcement Learning. CoRR (2018)
Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Andreas Krause
Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning. CoRR (2018)
Spencer M. Richards, Felix Berkenkamp, Andreas Krause
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamic Systems. CoRR (2018)
Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor
Verifying Controllers Against Adversarial Examples with Bayesian Optimization. CoRR (2018)
Robin Spiess, Felix Berkenkamp, Jan Poland, Andreas Krause
Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy. CoRR (2018)
Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe
Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization. ICRA (2017)
Felix Berkenkamp, Matteo Turchetta, Angela P. Schoellig, Andreas Krause
Safe Model-based Reinforcement Learning with Stability Guarantees. NIPS (2017)
Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe
Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization. CoRR (2017)
Felix Berkenkamp, Matteo Turchetta, Angela P. Schoellig, Andreas Krause
Safe Model-based Reinforcement Learning with Stability Guarantees. CoRR (2017)
Matteo Turchetta, Felix Berkenkamp, Andreas Krause
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes. CoRR (2016)
Felix Berkenkamp, Riccardo Moriconi, Angela P. Schoellig, Andreas Krause
Safe learning of regions of attraction for uncertain, nonlinear systems with Gaussian processes. CDC (2016)
Hany Abdelrahman, Felix Berkenkamp, Jan Poland, Andreas Krause
Bayesian optimization for maximum power point tracking in photovoltaic power plants. ECC (2016)
Felix Berkenkamp, Angela P. Schoellig, Andreas Krause
Safe controller optimization for quadrotors with Gaussian processes. ICRA (2016)
Matteo Turchetta, Felix Berkenkamp, Andreas Krause
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes. NIPS (2016)
Felix Berkenkamp, Andreas Krause, Angela P. Schoellig
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics. CoRR (2016)
Felix Berkenkamp, Riccardo Moriconi, Angela P. Schoellig, Andreas Krause
Safe Learning of Regions of Attraction for Uncertain, Nonlinear Systems with Gaussian Processes. CoRR (2016)
Felix Berkenkamp, Angela P. Schoellig
Safe and robust learning control with Gaussian processes. ECC (2015)
Felix Berkenkamp, Angela P. Schoellig, Andreas Krause
Safe Controller Optimization for Quadrotors with Gaussian Processes. CoRR (2015)