default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDFelix Berkenkamp
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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 - [i29]Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Information-Theoretic Safe Bayesian Optimization. CoRR abs/2402.15347 (2024) - [i28]Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters:
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability. CoRR abs/2409.16824 (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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-18 19:29 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
