Sebastian Curi

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 27

Top Topics

Reinforcement Learning

Top Venues

Publications

Geoffrey Cideron, Baruch Tabanpour, Sebastian Curi, Sertan Girgin, Léonard Hussenot, Gabriel Dulac-Arnold, Matthieu Geist, Olivier Pietquin, Robert Dadashi
Get Back Here: Robust Imitation by Return-to-Distribution Planning. CoRR (2023)
Bhavya Sukhija, Nathanael Köhler, Miguel Zamora, Simon Zimmermann, Sebastian Curi, Andreas Krause, Stelian Coros
Gradient-Based Trajectory Optimization With Learned Dynamics. ICRA (2023)
Sebastian Curi, Armin Lederer, Sandra Hirche, Andreas Krause
Safe Reinforcement Learning via Confidence-Based Filters. CDC (2022)
Yarden As, Ilnura Usmanova, Sebastian Curi, Andreas Krause
Constrained Policy Optimization via Bayesian World Models. CoRR (2022)
Yarden As, Ilnura Usmanova, Sebastian Curi, Andreas Krause
Constrained Policy Optimization via Bayesian World Models. ICLR (2022)
Sebastian Curi, Armin Lederer, Sandra Hirche, Andreas Krause
Safe Reinforcement Learning via Confidence-Based Filters. CoRR (2022)
Sebastian Curi, Ilija Bogunovic, Andreas Krause
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning. ICML (2021)
Lenart Treven, Sebastian Curi, Mojmír Mutný, Andreas Krause
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory. L4DC (2021)
Núria Armengol Urpi, Sebastian Curi, Andreas Krause
Risk-Averse Offline Reinforcement Learning. CoRR (2021)
Núria Armengol Urpí, Sebastian Curi, Andreas Krause
Risk-Averse Offline Reinforcement Learning. ICLR (2021)
Sebastian Curi, Ilija Bogunovic, Andreas Krause
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning. CoRR (2021)
Joan Bas-Serrano, Sebastian Curi, Andreas Krause, Gergely Neu
Logistic Q-Learning. AISTATS (2021)
Sebastian Curi, Felix Berkenkamp, Andreas Krause
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning. CoRR (2020)
Lenart Treven, Sebastian Curi, Mojmir Mutny, Andreas Krause
Learning Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory. CoRR (2020)
Joan Bas-Serrano, Sebastian Curi, Andreas Krause, Gergely Neu
Logistic $Q$-Learning. CoRR (2020)
Sebastian Curi, Kfir Y. Levy, Stefanie Jegelka, Andreas Krause
Adaptive Sampling for Stochastic Risk-Averse Learning. NeurIPS (2020)
Sebastian Curi, Silvan Melchior, Felix Berkenkamp, Andreas Krause
Structured Variational Inference in Partially Observable UnstableGaussian Process State Space Models. L4DC (2020)
Sebastian Curi, Felix Berkenkamp, Andreas Krause
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning. NeurIPS (2020)
Silvan Melchior, Felix Berkenkamp, Sebastian Curi, Andreas Krause
Structured Variational Inference in Unstable Gaussian Process State Space Models. CoRR (2019)
Marcello Fiducioso, Sebastian Curi, Benedikt Schumacher, Markus Gwerder, Andreas Krause
Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning. IJCAI (2019)
Sebastian Curi, Kfir Y. Levy, Andreas Krause
Adaptive Input Estimation in Linear Dynamical Systems with Applications to Learning-from-Observations. CDC (2019)
Zalán Borsos, Sebastian Curi, Kfir Yehuda Levy, Andreas Krause
Online Variance Reduction with Mixtures. ICML (2019)
Zalán Borsos, Sebastian Curi, Kfir Y. Levy, Andreas Krause
Online Variance Reduction with Mixtures. CoRR (2019)
Marcello Fiducioso, Sebastian Curi, Benedikt Schumacher, Markus Gwerder, Andreas Krause
Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning. CoRR (2019)
Sebastian Curi, Kfir Y. Levy, Stefanie Jegelka, Andreas Krause
Adaptive Sampling for Stochastic Risk-Averse Learning. CoRR (2019)
Sebastian Curi, Kfir Y. Levy, Andreas Krause
Unsupervised Imitation Learning. CoRR (2018)
Sebastian Curi, Dominic Groß, Florian Dörfler
Control of low-inertia power grids: A model reduction approach. CDC (2017)