Leonardo F. Toso

According to our database, Leonardo F. Toso authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Nikolai Matni

CoRR, 2024

Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR.

Leonardo Felipe Toso, Donglin Zhan, James Anderson, Han Wang

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data.

Thomas T. C. K. Zhang, Leonardo Felipe Toso, James Anderson, Nikolai Matni

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Oracle Complexity Reduction for Model-Free LQR: A Stochastic Variance-Reduced Policy Gradient Approach.

Leonardo F. Toso, Han Wang, James Anderson

Proceedings of the American Control Conference, 2024

2023

Meta-Learning Operators to Optimality from Multi-Task Non-IID Data.

Thomas T. C. K. Zhang, Leonardo Felipe Toso, James Anderson, Nikolai Matni

CoRR, 2023

FedSysID: A Federated Approach to Sample-Efficient System Identification.

Han Wang, Leonardo Felipe Toso, James Anderson

Proceedings of the Learning for Dynamics and Control Conference, 2023

Learning Personalized Models with Clustered System Identification.

Leonardo F. Toso, Han Wang, James Anderson

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Regional Stability Analysis of Transitional Fluid Flows.

Leonardo F. Toso, Ross Drummond, Stephen R. Duncan

IEEE Control. Syst. Lett., 2022