Florian Dorfler
14 papers · 2021–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
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Venues
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Research topics
Machine Learning
(10)
Optimization & Theory
(8)
Reinforcement Learning
(5)
Learning Types
(5)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Robotics
(4)
Core AI
(4)
Methods
(4)
Optimization
(4)
Systems
(4)
Applications
(2)
Bayesian & Probabilistic
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Keywords
optimal control
(3)
optimal transport
(3)
model-based reinforcement learning
(2)
reinforcement learning
(2)
epistemic uncertainty
(2)
gaussian process
(2)
policy gradient
(1)
stability analysis
(1)
convex optimization
(1)
model predictive control
(1)
energy minimization
(1)
markov decision process
(1)
regret minimization
(1)
large-scale optimization
(1)
continuous control
(1)
diffusion process
(1)
sample efficiency
(1)
representation learning
(1)
nonlinear control
(1)
wasserstein distance
(1)
Papers
Choose Wisely: Data-driven Predictive Control for Nonlinear Systems Using Online Data Selection
L4DC 2026
Stability of Certainty-Equivalent Adaptive LQR for Linear Systems with Unknown Time-Varying Parameters
L4DC 2026
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
AISTATS 2025
DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization
L4DC 2025
Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design
ICML 2025
Fairness in Social Influence Maximization via Optimal Transport
NeurIPS 2024
Learning diffusion at lightspeed
NeurIPS 2024
NeoRL: Efficient Exploration for Nonepisodic RL
NeurIPS 2024
When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
NeurIPS 2024
Efficient Exploration in Continuous-time Model-based Reinforcement Learning
NeurIPS 2023
Safe Control with Minimal Regret
L4DC 2022
Trust Region Policy Optimization with Optimal Transport Discrepancies: Duality and Algorithm for Continuous Actions
NeurIPS 2022
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
NeurIPS 2021
Learning Stable Deep Dynamics Models for Partially Observed or Delayed Dynamical Systems
NeurIPS 2021