Control of low-inertia power grids: A model reduction approach. - Sebastian Curi; Dominic Groß; Florian Dörfler (CDC, 2017)

Unsupervised Imitation Learning. - Sebastian Curi; Kfir Y. Levy; Andreas Krause 001 (CoRR, 2018)

Adaptive Input Estimation in Linear Dynamical Systems with Applications to Learning-from-Observations. - Sebastian Curi; Kfir Y. Levy; Andreas Krause 001 (CDC, 2019)

Online Variance Reduction with Mixtures. - Zalán Borsos; Sebastian Curi; Kfir Yehuda Levy; Andreas Krause 001 (ICML, 2019)

Safe Contextual Bayesian Optimization for Sustainable Room Temperature PID Control Tuning. - Marcello Fiducioso; Sebastian Curi; Benedikt Schumacher; Markus Gwerder; Andreas Krause 001 (IJCAI, 2019)

Structured Variational Inference in Unstable Gaussian Process State Space Models. - Silvan Melchior; Felix Berkenkamp; Sebastian Curi; Andreas Krause 001 (CoRR, 2019)

Structured Variational Inference in Partially Observable UnstableGaussian Process State Space Models. - Sebastian Curi; Silvan Melchior; Felix Berkenkamp; Andreas Krause 001 (L4DC, 2020)

Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning. - Sebastian Curi; Felix Berkenkamp; Andreas Krause 001 (NeurIPS, 2020)

Adaptive Sampling for Stochastic Risk-Averse Learning. - Sebastian Curi; Kfir Y. Levy; Stefanie Jegelka; Andreas Krause 001 (NeurIPS, 2020)

Learning Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory. - Lenart Treven; Sebastian Curi; Mojmir Mutny; Andreas Krause 001 (CoRR, 2020)

Logistic Q-Learning. - Joan Bas-Serrano; Sebastian Curi; Andreas Krause 001; Gergely Neu (AISTATS, 2021)

Risk-Averse Offline Reinforcement Learning. - Núria Armengol Urpí; Sebastian Curi; Andreas Krause 001 (ICLR, 2021)

Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning. - Sebastian Curi; Ilija Bogunovic; Andreas Krause 001 (ICML, 2021)

Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory. - Lenart Treven; Sebastian Curi; Mojmír Mutný; Andreas Krause 001 (L4DC, 2021)

Safe Reinforcement Learning via Confidence-Based Filters. - Sebastian Curi; Armin Lederer; Sandra Hirche; Andreas Krause 001 (CDC, 2022)

Constrained Policy Optimization via Bayesian World Models. - Yarden As; Ilnura Usmanova; Sebastian Curi; Andreas Krause 001 (ICLR, 2022)

Epistemic Uncertainty for Practical Deep Model-Based Reinforcement Learning. - Sebastian Curi (2022)

Gradient-Based Trajectory Optimization With Learned Dynamics. - Bhavya Sukhija; Nathanael Köhler; Miguel Zamora; Simon Zimmermann; Sebastian Curi; Andreas Krause 001; Stelian Coros (ICRA, 2023)

Get Back Here: Robust Imitation by Return-to-Distribution Planning. - Geoffrey Cideron; Baruch Tabanpour; Sebastian Curi; Sertan Girgin; Léonard Hussenot; Gabriel Dulac-Arnold; Matthieu Geist; Olivier Pietquin; Robert Dadashi (CoRR, 2023)