Felix Berkenkamp

58 papers A* 11A 3Misc 1Journal 34Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Family of LLMs Liberated from Static Vocabularies. CoRR Adnen Abdessaied, Artur Baranowski, Lukas Balles, Michael Barlow, Fabien C. Y. Benureau, Felix Berkenkamp, Lukas Bluebaum, Bastian Boll, Thomas F. Burns, Björn Deiseroth, Constantin Eichenberg, David Friede, Pablo Iyu Guerrero, Ahmed Hammam, Bastian Harren, Johann Higl, Yasser Jadidi, Carina Kauf, Johannes Messner, Jan Hendrik Metzen, Max Meuer, Vedant Nanda, Pit Neitemeier, Koen Oostermeijer, Letitia Parcalabescu, Markus Pernpointner, Felix Reinfurt, Dylan Rodriquez, Grégory Schott, Philipp Siedler, Martin Simonovsky, Till Speicher, Volker Stampa, Stephan Wäldchen, Samuel Weinbach, Gregor Ziegltrum
2025	A*	`ed.`	Forty-second International Conference on Machine Learning, ICML 2025, Vancouver, BC, Canada, July 13-19, 2025 ICML Aarti Singh, Maryam Fazel, Daniel Hsu, Simon Lacoste-Julien, Felix Berkenkamp, Tegan Maharaj, Kiri Wagstaff, Jerry Zhu
2025	J	`jnl`	Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability. Trans. Mach. Learn. Res. Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2024	A*	`ed.`	Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024 ICML Ruslan Salakhutdinov, Zico Kolter, Katherine A. Heller, Adrian Weller, Nuria Oliver, Jonathan Scarlett, Felix Berkenkamp
2024	J	`jnl`	Information-Theoretic Safe Bayesian Optimization. CoRR Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2024	A*	`conf`	MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. ICML Jiarong Pan, Stefan Falkner, Felix Berkenkamp, Joaquin Vanschoren
2024	A	`conf`	Scalable Meta-Learning with Gaussian Processes. AISTATS Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp
2024	J	`jnl`	Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability. CoRR Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2024	J	`jnl`	Value-Distributional Model-Based Reinforcement Learning. J. Mach. Learn. Res. Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2023	J	`jnl`	Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics. Mach. Learn. Felix Berkenkamp, Andreas Krause, Angela P. Schoellig
2023	J	`jnl`	Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation. CoRR Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, Zico Kolter
2023	J	`jnl`	MALIBO: Meta-learning for Likelihood-free Bayesian Optimization. CoRR Jiarong Pan, Stefan Falkner, Felix Berkenkamp, Joaquin Vanschoren
2023	J	`jnl`	Model-Based Epistemic Variance of Values for Risk-Aware Policy Optimization. CoRR Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2023	A	`conf`	Model-Based Uncertainty in Value Functions. AISTATS Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2023	J	`jnl`	Model-Based Uncertainty in Value Functions. CoRR Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2023	J	`jnl`	Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning. CoRR Melrose Roderick, Gaurav Manek, Felix Berkenkamp, J. Zico Kolter
2023	J	`jnl`	Scalable Meta-Learning with Gaussian Processes. CoRR Petru Tighineanu, Lukas Grossberger, Paul Baireuther, Kathrin Skubch, Stefan Falkner, Julia Vinogradska, Felix Berkenkamp
2023	J	`jnl`	Value-Distributional Model-Based Reinforcement Learning. CoRR Carlos E. Luis, Alessandro G. Bottero, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2022	A*	`conf`	Information-Theoretic Safe Exploration with Gaussian Processes. NeurIPS Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2022	J	`jnl`	Information-Theoretic Safe Exploration with Gaussian Processes. CoRR Alessandro G. Bottero, Carlos E. Luis, Julia Vinogradska, Felix Berkenkamp, Jan Peters
2022	A*	`conf`	On-Policy Model Errors in Reinforcement Learning. ICLR Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp
2022	A	`conf`	Transfer Learning with Gaussian Processes for Bayesian Optimization. AISTATS Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska
2021	J	`jnl`	On-Policy Model Errors in Reinforcement Learning. CoRR Lukas P. Fröhlich, Maksym Lefarov, Melanie N. Zeilinger, Felix Berkenkamp
2021	J	`jnl`	Transfer Learning with Gaussian Processes for Bayesian Optimization. CoRR Petru Tighineanu, Kathrin Skubch, Paul Baireuther, Attila Reiss, Felix Berkenkamp, Julia Vinogradska
2020	A*	`conf`	Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning. NeurIPS Sebastian Curi, Felix Berkenkamp, Andreas Krause
2020	J	`jnl`	Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning. CoRR Sebastian Curi, Felix Berkenkamp, Andreas Krause
2020	A*	`conf`	Keep Doing What Worked: Behavior Modelling Priors for Offline Reinforcement Learning. ICLR Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
2020	J	`jnl`	Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning. CoRR Noah Y. Siegel, Jost Tobias Springenberg, Felix Berkenkamp, Abbas Abdolmaleki, Michael Neunert, Thomas Lampe, Roland Hafner, Nicolas Heess, Martin A. Riedmiller
2020	—	`conf`	Structured Variational Inference in Partially Observable UnstableGaussian Process State Space Models. L4DC Sebastian Curi, Silvan Melchior, Felix Berkenkamp, Andreas Krause
2019	—	`conf`	Information-Directed Exploration for Deep Reinforcement Learning. ICLR (Poster) Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp, Andreas Krause
2019	—	`conf`	Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy. ECC Robin Spiess, Felix Berkenkamp, Andreas Krause, Jan Poland
2019	J	`jnl`	Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning. CoRR Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Joschka Boedecker, Andreas Krause
2019	J	`jnl`	No-Regret Bayesian Optimization with Unknown Hyperparameters. J. Mach. Learn. Res. Felix Berkenkamp, Angela P. Schoellig, Andreas Krause
2019	J	`jnl`	No-regret Bayesian Optimization with Unknown Hyperparameters. CoRR Felix Berkenkamp, Angela P. Schoellig, Andreas Krause
2019	A*	`conf`	Safe Exploration for Interactive Machine Learning. NeurIPS Matteo Turchetta, Felix Berkenkamp, Andreas Krause
2019	J	`jnl`	Safe Exploration for Interactive Machine Learning. CoRR Matteo Turchetta, Felix Berkenkamp, Andreas Krause
2019	J	`jnl`	Structured Variational Inference in Unstable Gaussian Process State Space Models. CoRR Silvan Melchior, Felix Berkenkamp, Sebastian Curi, Andreas Krause
2018	J	`jnl`	Information-Directed Exploration for Deep Reinforcement Learning. CoRR Nikolay Nikolov, Johannes Kirschner, Felix Berkenkamp, Andreas Krause
2018	J	`jnl`	Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy. CoRR Robin Spiess, Felix Berkenkamp, Jan Poland, Andreas Krause
2018	—	`conf`	Learning-Based Model Predictive Control for Safe Exploration. CDC Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Andreas Krause
2018	J	`jnl`	Learning-based Model Predictive Control for Safe Exploration and Reinforcement Learning. CoRR Torsten Koller, Felix Berkenkamp, Matteo Turchetta, Andreas Krause
2018	J	`jnl`	The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamic Systems. CoRR Spencer M. Richards, Felix Berkenkamp, Andreas Krause
2018	Misc	`conf`	The Lyapunov Neural Network: Adaptive Stability Certification for Safe Learning of Dynamical Systems. CoRL Spencer M. Richards, Felix Berkenkamp, Andreas Krause
2018	A*	`conf`	Verifying Controllers Against Adversarial Examples with Bayesian Optimization. ICRA Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor
2018	J	`jnl`	Verifying Controllers Against Adversarial Examples with Bayesian Optimization. CoRR Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade, Shaz Qadeer, Ashish Kapoor
2017	—	`conf`	Safe Model-based Reinforcement Learning with Stability Guarantees. NIPS Felix Berkenkamp, Matteo Turchetta, Angela P. Schoellig, Andreas Krause
2017	J	`jnl`	Safe Model-based Reinforcement Learning with Stability Guarantees. CoRR Felix Berkenkamp, Matteo Turchetta, Angela P. Schoellig, Andreas Krause
2017	J	`jnl`	Virtual vs. Real: Trading Off Simulations and Physical Experiments in Reinforcement Learning with Bayesian Optimization. CoRR Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe
2017	A*	`conf`	Virtual vs. real: Trading off simulations and physical experiments in reinforcement learning with Bayesian optimization. ICRA Alonso Marco, Felix Berkenkamp, Philipp Hennig, Angela P. Schoellig, Andreas Krause, Stefan Schaal, Sebastian Trimpe
2016	J	`jnl`	Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics. CoRR Felix Berkenkamp, Andreas Krause, Angela P. Schoellig
2016	—	`conf`	Bayesian optimization for maximum power point tracking in photovoltaic power plants. ECC Hany Abdelrahman, Felix Berkenkamp, Jan Poland, Andreas Krause
2016	—	`conf`	Safe Exploration in Finite Markov Decision Processes with Gaussian Processes. NIPS Matteo Turchetta, Felix Berkenkamp, Andreas Krause
2016	J	`jnl`	Safe Exploration in Finite Markov Decision Processes with Gaussian Processes. CoRR Matteo Turchetta, Felix Berkenkamp, Andreas Krause
2016	J	`jnl`	Safe Learning of Regions of Attraction for Uncertain, Nonlinear Systems with Gaussian Processes. CoRR Felix Berkenkamp, Riccardo Moriconi, Angela P. Schoellig, Andreas Krause
2016	A*	`conf`	Safe controller optimization for quadrotors with Gaussian processes. ICRA Felix Berkenkamp, Angela P. Schoellig, Andreas Krause
2016	—	`conf`	Safe learning of regions of attraction for uncertain, nonlinear systems with Gaussian processes. CDC Felix Berkenkamp, Riccardo Moriconi, Angela P. Schoellig, Andreas Krause
2015	J	`jnl`	Safe Controller Optimization for Quadrotors with Gaussian Processes. CoRR Felix Berkenkamp, Angela P. Schoellig, Andreas Krause
2015	—	`conf`	Safe and robust learning control with Gaussian processes. ECC Felix Berkenkamp, Angela P. Schoellig