Felix Berkenkamp

According to our database1, Felix Berkenkamp authored at least 22 papers between 2015 and 2020.

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Bibliography

2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning.
CoRR, 2020

Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning.
CoRR, 2020

Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
No-Regret Bayesian Optimization with Unknown Hyperparameters.
J. Mach. Learn. Res., 2019

Structured Variational Inference in Unstable Gaussian Process State Space Models.
CoRR, 2019

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning.
CoRR, 2019

Safe Exploration for Interactive Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Information-Directed Exploration for Deep Reinforcement Learning.
Proceedings of the 7th International Conference on Learning Representations, 2019

Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy.
Proceedings of the 18th European Control Conference, 2019

2018
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamic Systems.
CoRR, 2018

Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning.
CoRR, 2018

Verifying Controllers Against Adversarial Examples with Bayesian Optimization.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Learning-Based Model Predictive Control for Safe Exploration.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Safe Model-based Reinforcement Learning with Stability Guarantees.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics.
CoRR, 2016

Safe Exploration in Finite Markov Decision Processes with Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Safe controller optimization for quadrotors with Gaussian processes.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Bayesian optimization for maximum power point tracking in photovoltaic power plants.
Proceedings of the 2016 European Control Conference, 2016

Safe learning of regions of attraction for uncertain, nonlinear systems with Gaussian processes.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Safe and robust learning control with Gaussian processes.
Proceedings of the European Control Conference, 2015


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