Safe and robust learning control with Gaussian processes. - Felix Berkenkamp; Angela P. Schoellig (ECC, 2015)

Safe learning of regions of attraction for uncertain, nonlinear systems with Gaussian processes. - Felix Berkenkamp; Riccardo Moriconi; Angela P. Schoellig; Andreas Krause 001 (CDC, 2016)

Bayesian optimization for maximum power point tracking in photovoltaic power plants. - Hany Abdelrahman; Felix Berkenkamp; Jan Poland; Andreas Krause 001 (ECC, 2016)

Safe controller optimization for quadrotors with Gaussian processes. - Felix Berkenkamp; Angela P. Schoellig; Andreas Krause 001 (ICRA, 2016)

Safe Exploration in Finite Markov Decision Processes with Gaussian Processes. - Matteo Turchetta; Felix Berkenkamp; Andreas Krause 001 (NIPS, 2016)

Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization. - Alonso Marco; Felix Berkenkamp; Philipp Hennig; Angela P. Schoellig; Andreas Krause 001; Stefan Schaal; Sebastian Trimpe (ICRA, 2017)

Safe Model-based Reinforcement Learning with Stability Guarantees. - Felix Berkenkamp; Matteo Turchetta; Angela P. Schoellig; Andreas Krause 001 (NIPS, 2017)

Learning-Based Model Predictive Control for Safe Exploration. - Torsten Koller; Felix Berkenkamp; Matteo Turchetta; Andreas Krause 001 (CDC, 2018)

The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems. - Spencer M. Richards; Felix Berkenkamp; Andreas Krause 001 (CoRL, 2018)

Verifying Controllers Against Adversarial Examples with Bayesian Optimization. - Shromona Ghosh; Felix Berkenkamp; Gireeja Ranade; Shaz Qadeer; Ashish Kapoor (ICRA, 2018)

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning. - Torsten Koller; Felix Berkenkamp; Matteo Turchetta; Andreas Krause 001 (CoRR, 2018)

The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamic Systems. - Spencer M. Richards; Felix Berkenkamp; Andreas Krause 001 (CoRR, 2018)

Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy. - Robin Spiess; Felix Berkenkamp; Andreas Krause 001; Jan Poland (ECC, 2019)

Information-Directed Exploration for Deep Reinforcement Learning. - Nikolay Nikolov; Johannes Kirschner; Felix Berkenkamp; Andreas Krause 001 (ICLR (Poster), 2019)

Safe Exploration for Interactive Machine Learning. - Matteo Turchetta; Felix Berkenkamp; Andreas Krause 001 (NeurIPS, 2019)

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning. - Torsten Koller; Felix Berkenkamp; Matteo Turchetta; Joschka Boedecker; Andreas Krause 001 (CoRR, 2019)

Structured Variational Inference in Unstable Gaussian Process State Space Models. - Silvan Melchior; Felix Berkenkamp; Sebastian Curi; Andreas Krause 001 (CoRR, 2019)

No-Regret Bayesian Optimization with Unknown Hyperparameters. - Felix Berkenkamp; Angela P. Schoellig; Andreas Krause 001 (J. Mach. Learn. Res., 2019)

Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning. - Noah Y. Siegel; Jost Tobias Springenberg; Felix Berkenkamp; Abbas Abdolmaleki; Michael Neunert; Thomas Lampe; Roland Hafner; Nicolas Heess; Martin A. Riedmiller (ICLR, 2020)

Structured Variational Inference in Partially Observable UnstableGaussian Process State Space Models. - Sebastian Curi; Silvan Melchior; Felix Berkenkamp; Andreas Krause 001 (L4DC, 2020)

Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning. - Sebastian Curi; Felix Berkenkamp; Andreas Krause 001 (NeurIPS, 2020)

Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning. - Noah Y. Siegel; Jost Tobias Springenberg; Felix Berkenkamp; Abbas Abdolmaleki; Michael Neunert; Thomas Lampe; Roland Hafner; Nicolas Heess; Martin A. Riedmiller (CoRR, 2020)

Transfer Learning with Gaussian Processes for Bayesian Optimization. - Petru Tighineanu; Kathrin Skubch; Paul Baireuther; Attila Reiss; Felix Berkenkamp; Julia Vinogradska (AISTATS, 2022)

On-Policy Model Errors in Reinforcement Learning. - Lukas P. Fröhlich; Maksym Lefarov; Melanie N. Zeilinger; Felix Berkenkamp (ICLR, 2022)

Information-Theoretic Safe Exploration with Gaussian Processes. - Alessandro G. Bottero; Carlos E. Luis; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (NeurIPS, 2022)

Model-Based Uncertainty in Value Functions. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (AISTATS, 2023)

Value-Distributional Model-Based Reinforcement Learning. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (CoRR, 2023)

Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning. - Melrose Roderick; Gaurav Manek; Felix Berkenkamp; J. Zico Kolter (CoRR, 2023)

Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (CoRR, 2023)

Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation. - Melrose Roderick; Felix Berkenkamp; Fatemeh Sheikholeslami; Zico Kolter (CoRR, 2023)

Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics. - Felix Berkenkamp; Andreas Krause 001; Angela P. Schoellig (Mach. Learn., 2023)

Scalable Meta-Learning with Gaussian Processes. - Petru Tighineanu; Lukas Grossberger; Paul Baireuther; Kathrin Skubch; Stefan Falkner; Julia Vinogradska; Felix Berkenkamp (AISTATS, 2024)

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. - Jiarong Pan; Stefan Falkner; Felix Berkenkamp; Joaquin Vanschoren (ICML, 2024)

Information-Theoretic Safe Bayesian Optimization. - Alessandro G. Bottero; Carlos E. Luis; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (CoRR, 2024)

Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability. - Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters 001 (Trans. Mach. Learn. Res., 2025)