Leonardo F. Toso

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Reinforcement Learning

Linear Quadratic

Policy Gradient

Top Venues

IEEE Control. Syst. Lett.

Publications

Leonardo F. Toso, Donglin Zhan, James Anderson, Han Wang
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for the Model-free LQR. CoRR (2024)
Bruce D. Lee, Leonardo F. Toso, Thomas T. C. K. Zhang, James Anderson, Nikolai Matni
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control. CoRR (2024)
Leonardo F. Toso, Han Wang, James Anderson
Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach. CoRR (2023)
Thomas T. C. K. Zhang, Leonardo F. Toso, James Anderson, Nikolai Matni
Meta-Learning Operators to Optimality from Multi-Task Non-IID Data. CoRR (2023)
Leonardo F. Toso, Han Wang, James Anderson
Learning Personalized Models with Clustered System Identification. CDC (2023)
Leonardo F. Toso, Han Wang, James Anderson
Learning Personalized Models with Clustered System Identification. CoRR (2023)
Leonardo F. Toso, Ross Drummond, Stephen R. Duncan
Regional Stability Analysis of Transitional Fluid Flows. IEEE Control. Syst. Lett. 6 (2022)
Han Wang, Leonardo F. Toso, James Anderson
FedSysID: A Federated Approach to Sample-Efficient System Identification. CoRR (2022)
Leonardo F. Toso, Ross Drummond, Stephen R. Duncan
Regional Stability Analysis of Transitional Fluid Flows. CoRR (2021)