Regional Stability Analysis of Transitional Fluid Flows. - Leonardo F. Toso; Ross Drummond; Stephen R. Duncan (IEEE Control. Syst. Lett., 2022)

Learning Personalized Models with Clustered System Identification. - Leonardo F. Toso; Han Wang 016; James Anderson 001 (CDC, 2023)

FedSysID: A Federated Approach to Sample-Efficient System Identification. - Han Wang 016; Leonardo Felipe Toso; James Anderson 001 (L4DC, 2023)

Meta-Learning Operators to Optimality from Multi-Task Non-IID Data. - Thomas T. C. K. Zhang; Leonardo Felipe Toso; James Anderson 001; Nikolai Matni (CoRR, 2023)

Oracle Complexity Reduction for Model-Free LQR: A Stochastic Variance-Reduced Policy Gradient Approach. - Leonardo F. Toso; Han Wang 016; James Anderson 001 (ACC, 2024)

Asynchronous Heterogeneous Linear Quadratic Regulator Design. - Leonardo F. Toso; Han Wang 016; James Anderson 001 (CDC, 2024)

Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data. - Thomas T. C. K. Zhang; Leonardo Felipe Toso; James Anderson 001; Nikolai Matni (ICLR, 2024)

Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR. - Leonardo Felipe Toso; Donglin Zhan; James Anderson 001; Han Wang 016 (L4DC, 2024)

Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. - Bruce D. Lee; Leonardo F. Toso; Thomas T. C. K. Zhang; James Anderson 001; Nikolai Matni (CoRR, 2024)

Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. - Bruce D. Lee; Leonardo F. Toso; Thomas T. Zhang; James Anderson 001; Nikolai Matni (AAAI, 2025)

Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning. - Donglin Zhan; Leonardo F. Toso; James Anderson 001 (CoRR, 2025)

Learning Stabilizing Policies via an Unstable Subspace Representation. - Leonardo F. Toso; Lintao Ye; James Anderson 001 (CoRR, 2025)

On the Gradient Domination of the LQG Problem. - Kasra Fallah; Leonardo F. Toso; James Anderson 001 (CoRR, 2025)