Sebastian Curi

28 papers A* 8A 1Journal 13Unranked 5

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