Leonardo F. Toso

According to our database, Leonardo F. Toso authored at least 13 papers between 2022 and 2025.

Collaborative distances:

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

2025

On the Gradient Domination of the LQG Problem.

Kasra Fallah, Leonardo F. Toso, James Anderson

CoRR, July, 2025

Learning Stabilizing Policies via an Unstable Subspace Representation.

Leonardo F. Toso, Lintao Ye, James Anderson

CoRR, May, 2025

Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning.

Donglin Zhan, Leonardo F. Toso, James Anderson

CoRR, February, 2025

Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control.

Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang, James Anderson, Nikolai Matni

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

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

Asynchronous Heterogeneous Linear Quadratic Regulator Design.

Leonardo F. Toso, Han Wang, James Anderson

Proceedings of the 63rd IEEE Conference on Decision and Control, 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