Sebastian Curi | Learning & Adaptive Systems Group

Sebastian Curi

PhD Student
sebastian.curi@inf.ethz.ch
CAB E 64.1
+41 44 632 43 89
I am interested in increasing the understanding of reinforcement learning methods. I believe to achieve this by analyzing practical machine learning techniques, that are shown to work but with little theoretical guarantees, with control system theory results, that provide with sound mathematical proves. More updates on this soon.

Publications

2023
Gradient-Based Trajectory Optimization With Learned Dynamics B. Sukhija, N. Köhler, M. Zamora, S. Zimmermann, S. Curi, A. Krause, S. Coros In IEEE International Conference on Robotics and Automation (ICRA), 2023 [bibtex] [abstract] [pdf]
2022
Constrained Policy Optimization via Bayesian World Models Y. As, I. Usmanova, S. Curi, A. Krause In Proc. International Conference on Learning Representations (ICLR), 2022 Spotlight presentation [bibtex] [abstract] [pdf] [code]
2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning S. Curi, I. Bogunovic, A. Krause In Proc. International Conference on Machine Learning (ICML), 2021 [bibtex] [abstract] [pdf] [long]
Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory L. Treven, S. Curi, M. Mutný, A. Krause In Proc. Learning for Dynamics and Control (L4DC), 2021 [bibtex] [abstract] [pdf]
Risk-Averse Offline Reinforcement Learning N. A. Urpí, S. Curi, A. Krause In Proc. International Conference on Learning Representations (ICLR), 2021 [bibtex] [abstract] [pdf] [code]
Logistic Q-Learning J. Bas-Serrano, S. Curi, A. Krause, G. Neu In Proc. International Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Oral presentation [bibtex] [abstract] [pdf]
2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning S. Curi, F. Berkenkamp, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2020 Spotlight presentation [bibtex] [abstract] [pdf] [poster] [code]
Adaptive Sampling for Stochastic Risk-Averse Learning S. Curi, K. Y. Levy, S. Jegelka, A. Krause In Proc. Neural Information Processing Systems (NeurIPS), 2020 [bibtex] [abstract] [pdf] [poster] [code]
Structured Variational Inference in Partially Observable Unstable Gaussian Process State Space Models S. Curi, S. Melchior, F. Berkenkamp, A. Krause In Proc. Conference on Learning for Dynamics and Control (L4DC), 2020 [bibtex] [abstract] [pdf]
2019
Safe contextual Bayesian optimization for sustainable room temperature PID control tuning M. Fiducioso, S. Curi, B. Schumacher, M. Gwerder, A. Krause In Proceedings of the 28th International Joint Conference on Artificial Intelligence, 2019 [bibtex] [abstract] [pdf]
Online Variance Reduction with Mixtures Z. Borsos, S. Curi, K. Y. Levy, A. Krause In Proc. International Conference on Machine Learning (ICML), 2019 [bibtex] [abstract] [pdf]
Adaptive Input Estimation in Linear Dynamical Systems with Applications to Learning-from-Observations S. Curi, K. Y. Levy, A. Krause In 2019 IEEE 58th Conference on Decision and Control (CDC), 2019 [bibtex] [abstract] [pdf]