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Felix Berkenkamp
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2020 – today
- 2024
- [c22]Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp:
Scalable Meta-Learning with Gaussian Processes. AISTATS 2024: 1981-1989 - [c21]Jiarong Pan, Stefan Falkner, Felix Berkenkamp, Joaquin Vanschoren:
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. ICML 2024 - [i28]Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Information-Theoretic Safe Bayesian Optimization. CoRR abs/2402.15347 (2024) - 2023
- [j2]Felix Berkenkamp, Andreas Krause, Angela P. Schoellig:
Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics. Mach. Learn. 112(10): 3713-3747 (2023) - [c20]Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Model-Based Uncertainty in Value Functions. AISTATS 2023: 8029-8052 - [i27]Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Model-Based Uncertainty in Value Functions. CoRR abs/2302.12526 (2023) - [i26]Jiarong Pan, Stefan Falkner, Felix Berkenkamp, Joaquin Vanschoren:
MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. CoRR abs/2307.03565 (2023) - [i25]Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Value-Distributional Model-Based Reinforcement Learning. CoRR abs/2308.06590 (2023) - [i24]Melrose Roderick, Gaurav Manek, Felix Berkenkamp, J. Zico Kolter:
Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning. CoRR abs/2311.14885 (2023) - [i23]Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp:
Scalable Meta-Learning with Gaussian Processes. CoRR abs/2312.00742 (2023) - [i22]Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization. CoRR abs/2312.04386 (2023) - [i21]Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, Zico Kolter:
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation. CoRR abs/2312.17411 (2023) - 2022
- [c19]Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska:
Transfer Learning with Gaussian Processes for Bayesian Optimization. AISTATS 2022: 6152-6181 - [c18]Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp:
On-Policy Model Errors in Reinforcement Learning. ICLR 2022 - [c17]Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Information-Theoretic Safe Exploration with Gaussian Processes. NeurIPS 2022 - [i20]Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Information-Theoretic Safe Exploration with Gaussian Processes. CoRR abs/2212.04914 (2022) - 2021
- [i19]Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp:
On-Policy Model Errors in Reinforcement Learning. CoRR abs/2110.07985 (2021) - [i18]Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska:
Transfer Learning with Gaussian Processes for Bayesian Optimization. CoRR abs/2111.11223 (2021) - 2020
- [c16]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 - [c15]Sebastian Curi, Silvan Melchior, Felix Berkenkamp, Andreas Krause:
Structured Variational Inference in Partially Observable UnstableGaussian Process State Space Models. L4DC 2020: 147-157 - [c14]Sebastian Curi, Felix Berkenkamp, Andreas Krause:
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning. NeurIPS 2020 - [i17]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 abs/2002.08396 (2020) - [i16]Sebastian Curi, Felix Berkenkamp, Andreas Krause:
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning. CoRR abs/2006.08684 (2020)
2010 – 2019
- 2019
- [j1]Felix Berkenkamp, Angela P. Schoellig, Andreas Krause:
No-Regret Bayesian Optimization with Unknown Hyperparameters. J. Mach. Learn. Res. 20: 50:1-50:24 (2019) - [c13]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: 9-15 - [c12]Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp, Andreas Krause:
Information-Directed Exploration for Deep Reinforcement Learning. ICLR (Poster) 2019 - [c11]Matteo Turchetta, Felix Berkenkamp, Andreas Krause:
Safe Exploration for Interactive Machine Learning. NeurIPS 2019: 2887-2897 - [i15]Felix Berkenkamp, Angela P. Schoellig, Andreas Krause:
No-regret Bayesian Optimization with Unknown Hyperparameters. CoRR abs/1901.03357 (2019) - [i14]Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Joschka Boedecker, Andreas Krause:
Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning. CoRR abs/1906.12189 (2019) - [i13]Silvan Melchior, Felix Berkenkamp, Sebastian Curi, Andreas Krause:
Structured Variational Inference in Unstable Gaussian Process State Space Models. CoRR abs/1907.07035 (2019) - [i12]Matteo Turchetta, Felix Berkenkamp, Andreas Krause:
Safe Exploration for Interactive Machine Learning. CoRR abs/1910.13726 (2019) - 2018
- [c10]Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Andreas Krause:
Learning-Based Model Predictive Control for Safe Exploration. CDC 2018: 6059-6066 - [c9]Spencer M. Richards, Felix Berkenkamp, Andreas Krause:
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems. CoRL 2018: 466-476 - [c8]Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor:
Verifying Controllers Against Adversarial Examples with Bayesian Optimization. ICRA 2018: 7306-7313 - [i11]Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor:
Verifying Controllers Against Adversarial Examples with Bayesian Optimization. CoRR abs/1802.08678 (2018) - [i10]Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Andreas Krause:
Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning. CoRR abs/1803.08287 (2018) - [i9]Spencer M. Richards, Felix Berkenkamp, Andreas Krause:
The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamic Systems. CoRR abs/1808.00924 (2018) - [i8]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 abs/1811.05788 (2018) - [i7]Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp, Andreas Krause:
Information-Directed Exploration for Deep Reinforcement Learning. CoRR abs/1812.07544 (2018) - 2017
- [c7]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: 1557-1563 - [c6]Felix Berkenkamp, Matteo Turchetta, Angela P. Schoellig, Andreas Krause:
Safe Model-based Reinforcement Learning with Stability Guarantees. NIPS 2017: 908-918 - [i6]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 abs/1703.01250 (2017) - [i5]Felix Berkenkamp, Matteo Turchetta, Angela P. Schoellig, Andreas Krause:
Safe Model-based Reinforcement Learning with Stability Guarantees. CoRR abs/1705.08551 (2017) - 2016
- [c5]Felix Berkenkamp, Riccardo Moriconi, Angela P. Schoellig, Andreas Krause:
Safe learning of regions of attraction for uncertain, nonlinear systems with Gaussian processes. CDC 2016: 4661-4666 - [c4]Hany Abdelrahman, Felix Berkenkamp, Jan Poland, Andreas Krause:
Bayesian optimization for maximum power point tracking in photovoltaic power plants. ECC 2016: 2078-2083 - [c3]Felix Berkenkamp, Angela P. Schoellig, Andreas Krause:
Safe controller optimization for quadrotors with Gaussian processes. ICRA 2016: 491-496 - [c2]Matteo Turchetta, Felix Berkenkamp, Andreas Krause:
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes. NIPS 2016: 4305-4313 - [i4]Felix Berkenkamp, Andreas Krause, Angela P. Schoellig:
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics. CoRR abs/1602.04450 (2016) - [i3]Felix Berkenkamp, Riccardo Moriconi, Angela P. Schoellig, Andreas Krause:
Safe Learning of Regions of Attraction for Uncertain, Nonlinear Systems with Gaussian Processes. CoRR abs/1603.04915 (2016) - [i2]Matteo Turchetta, Felix Berkenkamp, Andreas Krause:
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes. CoRR abs/1606.04753 (2016) - 2015
- [c1]Felix Berkenkamp, Angela P. Schoellig:
Safe and robust learning control with Gaussian processes. ECC 2015: 2496-2501 - [i1]Felix Berkenkamp, Angela P. Schoellig, Andreas Krause:
Safe Controller Optimization for Quadrotors with Gaussian Processes. CoRR abs/1509.01066 (2015)
Coauthor Index
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