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Ufuk Topcu

How to Learn and Generalize From Three Minutes of Data: Physics-Constrained and Uncertainty-Aware Neural Stochastic Differential Equations
Autonomous Drifting with 3 Minutes of Data via Learned Tire Models
Taylor-Lagrange Neural Ordinary Differential Equations: Toward Fast Training and Evaluation of Neural ODEs
Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling
Learning to Reach, Swim, Walk and Fly in One Trial: Data-Driven Control with Scarce Data and Side Information
Task-Guided Inverse Reinforcement Learning Under Partial Information
Probabilistic control of heterogeneous swarms subject to graph temporal logic specifications: A decentralized and scalable approach
On-the-fly, data-driven reachability analysis and control of unknown systems: an F-16 aircraft case study
Learning-Based, Safety-Constrained Control from Scarce Data via Reciprocal Barriers
Online synthesis for runtime enforcement of safety in multi-agent systems
Safety-Constrained Learning and Control using Scarce Data and Reciprocal Barriers
On-The-Fly Control of Unknown Systems: From Side Information to Performance Guarantees through Reachability
On-The-Fly Control of Unknown Smooth Systems from Limited Data
Blending Controllers via Multi-Objective Bandits
Probabilistic Swarm Guidance Subject to Graph Temporal Logic Specifications
Policy synthesis for switched linear systems with Markov decision process switching