Folgen
Leonardo F. Toso
Leonardo F. Toso
Ph.D. Student, Electrical Engineering, Columbia University
Bestätigte E-Mail-Adresse bei columbia.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Fedsysid: A federated approach to sample-efficient system identification
H Wang, LF Toso, J Anderson
Learning for Dynamics and Control Conference, 1308-1320, 2023
92023
Model-free learning with heterogeneous dynamical systems: A federated lqr approach
H Wang, LF Toso, A Mitra, J Anderson
arXiv preprint arXiv:2308.11743, 2023
52023
Meta-Learning Operators to Optimality from Multi-Task Non-IID Data
TTCK Zhang, LF Toso, J Anderson, N Matni
arXiv preprint arXiv:2308.04428, 2023
32023
Regional stability analysis of transitional fluid flows
LF Toso, R Drummond, SR Duncan
IEEE Control Systems Letters 6, 2287-2292, 2022
32022
Learning Personalized Models with Clustered System Identification
LF Toso, H Wang, J Anderson
arXiv preprint arXiv:2304.01395, 2023
22023
Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach
LF Toso, H Wang, J Anderson
arXiv preprint arXiv:2309.10679, 2023
12023
Meta-Learning Linear Quadratic Regulators: A Policy Gradient MAML Approach for the Model-free LQR
LF Toso, D Zhan, J Anderson, H Wang
arXiv preprint arXiv:2401.14534, 2024
2024
Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
TTCK Zhang, LF Toso, J Anderson, N Matni
The Twelfth International Conference on Learning Representations, 2023
2023
Lyapunov Function computation for Periodic Linear Hybrid Systems via Handelman, Polya and SoS approaches: A comparative study
LF Toso, G Valmorbida
IFAC-PapersOnLine 55 (16), 160-165, 2022
2022
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–9