Dorfler, Florian

19 publications

AISTATS 2025 Contractivity and Linear Convergence in Bilinear Saddle-Point Problems: An Operator-Theoretic Approach Colin Dirren, Mattia Bianchi, Panagiotis D. Grontas, John Lygeros, Florian Dorfler

L4DC 2025 DeePC-Hunt: Data-Enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Michael Cummins, Alberto Padoan, Keith Moffat, Florian Dorfler, John Lygeros

ICLRW 2025 Optimism via Intrinsic Rewards: Scalable and Principled Exploration for Model-Based Reinforcement Learning Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Florian Dorfler, Pieter Abbeel, Andreas Krause

ICML 2025 Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design Marino Kühne, Panagiotis D. Grontas, Giulia De Pasquale, Giuseppe Belgioioso, Florian Dorfler, John Lygeros

NeurIPS 2025 SOMBRL: Scalable and Optimistic Model-Based RL Bhavya Sukhija, Lenart Treven, Carmelo Sferrazza, Florian Dorfler, Pieter Abbeel, Andreas Krause

ICMLW 2024 DeePC-Hunt: Data-Enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization Michael Cummins, Alberto Padoan, Keith Moffat, John Lygeros, Florian Dorfler

NeurIPS 2024 Fairness in Social Influence Maximization via Optimal Transport Shubham Chowdhary, Giulia De Pasquale, Nicolas Lanzetti, Ana-Andreea Stoica, Florian Dörfler

NeurIPS 2024 Learning Diffusion at Lightspeed Antonio Terpin, Nicolas Lanzetti, Martín Gadea, Florian Dörfler

ICMLW 2024 NEORL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija, Lenart Treven, Florian Dorfler, Stelian Coros, Andreas Krause

NeurIPS 2024 NeoRL: Efficient Exploration for Nonepisodic RL Bhavya Sukhija, Lenart Treven, Florian Dörfler, Stelian Coros, Andreas Krause

ICMLW 2024 Online Performance Optimization of Nonlinear Systems: A Gray-Box Approach Zhiyu He, Michael Muehlebach, Saverio Bolognani, Florian Dorfler

ICMLW 2024 Recommender System Design via Online Feedback Optimization Sanjay Chandrasekaran, Giulia De Pasquale, Giuseppe Belgioioso, Florian Dorfler

NeurIPS 2024 When to Sense and Control? a Time-Adaptive Approach for Continuous-Time RL Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dörfler, Andreas Krause

ICMLW 2024 When to Sense and Control? a Time-Adaptive Approach for Continuous-Time RL Lenart Treven, Bhavya Sukhija, Yarden As, Florian Dorfler, Andreas Krause

NeurIPS 2023 Efficient Exploration in Continuous-Time Model-Based Reinforcement Learning Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dorfler, Andreas Krause

L4DC 2022 Safe Control with Minimal Regret Andrea Martin, Luca Furieri, Florian Dörfler, John Lygeros, Giancarlo Ferrari-Trecate

NeurIPS 2022 Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions Antonio Terpin, Nicolas Lanzetti, Batuhan Yardim, Florian Dorfler, Giorgia Ramponi

NeurIPS 2021 Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models Lenart Treven, Philippe Wenk, Florian Dorfler, Andreas Krause

NeurIPS 2021 Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems Andreas Schlaginhaufen, Philippe Wenk, Andreas Krause, Florian Dorfler