Leonardo F. Toso

18 papers A* 1C 1Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Learning Invariant Visual Representations for Planning with Joint-Embedding Predictive World Models.
CoRR
Leonardo F. Toso, Davit Shadunts, Yunyang Lu, Nihal Sharma, Donglin Zhan, Nam H. Nguyen, James Anderson
2025 J jnl
Adversarially Robust Multitask Adaptive Control.
CoRR
Kasra Fallah, Leonardo F. Toso, James Anderson
2025 — conf
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning.
CDC
Donglin Zhan, Leonardo F. Toso, James Anderson
2025 J jnl
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning.
CoRR
Donglin Zhan, Leonardo F. Toso, James Anderson
2025 — conf
Learning Stabilizing Policies via an Unstable Subspace Representation.
CDC
Leonardo F. Toso, Lintao Ye, James Anderson
2025 J jnl
Learning Stabilizing Policies via an Unstable Subspace Representation.
CoRR
Leonardo F. Toso, Lintao Ye, James Anderson
2025 J jnl
On the Gradient Domination of the LQG Problem.
CoRR
Kasra Fallah, Leonardo F. Toso, James Anderson
2025 J jnl
Physics-informed learning under mixing: How physical knowledge speeds up learning.
CoRR
Anna Scampicchio, Leonardo F. Toso, Rahel Rickenbach, James Anderson, Melanie N. Zeilinger
2025 J jnl
Policy Gradient Bounds in Multitask LQR.
CoRR
Charis J. Stamouli, Leonardo F. Toso, Anastasios Tsiamis, George J. Pappas, James Anderson
2025 J jnl
Policy Gradient Bounds in Multitask LQR.
IEEE Control. Syst. Lett.
Charis J. Stamouli, Leonardo F. Toso, Anastasios Tsiamis, George J. Pappas, James Anderson
2025 A* conf
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control.
AAAI
Bruce D. Lee, Leonardo F. Toso, Thomas T. Zhang, James Anderson, Nikolai Matni
2024 — conf
Asynchronous Heterogeneous Linear Quadratic Regulator Design.
CDC
Leonardo F. Toso, Han Wang, James Anderson
2024 J jnl
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for the Model-free LQR.
CoRR
Leonardo F. Toso, Donglin Zhan, James Anderson, Han Wang
2024 C conf
Oracle Complexity Reduction for Model-Free LQR: A Stochastic Variance-Reduced Policy Gradient Approach.
ACC
Leonardo F. Toso, Han Wang, James Anderson
2024 J jnl
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control.
CoRR
Bruce D. Lee, Leonardo F. Toso, Thomas T. C. K. Zhang, James Anderson, Nikolai Matni
2023 — conf
Learning Personalized Models with Clustered System Identification.
CDC
Leonardo F. Toso, Han Wang, James Anderson
2022 J jnl
Regional Stability Analysis of Transitional Fluid Flows.
IEEE Control. Syst. Lett.
Leonardo F. Toso, Ross Drummond, Stephen R. Duncan
2021 J jnl
Regional Stability Analysis of Transitional Fluid Flows.
CoRR
Leonardo F. Toso, Ross Drummond, Stephen R. Duncan