Tobias Sutter
Associate Professor

News

• New paper[arXiv] Asymptotic Optimality in Data-driven Decision Making 

• New paper [arXiv] A Two-Timescale Primal-Dual Framework for Reinforcement Learning via Online Dual Variable Guidance

• New paper [arXiv] Reliability-Adjusted Prioritized Experience Replay

• Paper accepted at ICML 2025 - Probabilistic Verification of Neural Networks using Branch and Bound [arXiv]

• New paper [arXiv] Towards Optimal Offline Reinforcement Learning  

• Paper [arXiv]  on Computing Optimal Joint Chance Constrained Control Policies accepted to IEEE Transactions on Automatic Control 

• Two papers at NeurIPS 2024

  • Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces [arXiv]

  • Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms [arXiv]

• New preprint [arXiv] on Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces

• New preprint [arXiv] on Probabilistic Verification of Neural Networks using Branch and Bound 

• New paper [arXiv] on Regularized Q-learning through Robust Averaging (accepted at ICML 2024)

• New paper [arXiv] Joint Chance Constrained Optimal Control via Linear Programming, accepted to IEEE Control Systems Letters

• New seminar series on Connecting Statistical Logic, Dynamical Systems and Optimization 

• New preprint [arXiv]  on Computing Optimal Joint Chance Constrained Control Policies

• Organization of workshop:  Moments and Polynomials: Applications and Theory

Research Interests
I am mainly interested in the development of mathematical methodologies and algorithms for optimal data driven decision making. For that I use tools from

• Machine learning: reinforcement learning, data-driven decision making, 

• Control theory: stochastic control, approximate dynamic programming

• Stochastic programming: distributionally robust optimization

• Statistics: efficient decision making, causal inference, 

• Information theory: large deviations

Publications and Preprints

• See the arXiv and  Google Scholar or see Publications

• PhD thesis [pdf]

PhD Supervision at the University of Konstanz

• Peter Schmitt-Förster, since 2022

• David Boetius (co-supervision), since 2022

• Radek Salač, since 2023

• Marcel Kaiser, since 2024

• Axel Wolter, since 2024

Awards

• ETH medal for outstanding doctoral thesis - 2018 (picture)

• IEEE George S. Axelby Outstanding Paper Award - 2016 (picture)