Han Wang
Zitiert von
Zitiert von
Fedadmm: A federated primal-dual algorithm allowing partial participation
H Wang, S Marella, J Anderson
2022 IEEE 61st Conference on Decision and Control (CDC), 287-294, 2022
Robust closed-loop model predictive control via system level synthesis
S Chen, H Wang, M Morari, VM Preciado, N Matni
2020 59th IEEE Conference on Decision and Control (CDC), 2152-2159, 2020
Fedsysid: A federated approach to sample-efficient system identification
H Wang, LF Toso, J Anderson
Learning for Dynamics and Control Conference, 1308-1320, 2023
Federated temporal difference learning with linear function approximation under environmental heterogeneity
H Wang, A Mitra, H Hassani, GJ Pappas, J Anderson
arXiv preprint arXiv:2302.02212, 2023
Large-scale system identification using a randomized svd
H Wang, J Anderson
2022 American Control Conference (ACC), 2178-2185, 2022
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
Analysis of carbon emissions from transportation in Beijing
J Chen, H Wang, X Zhang, S Chen, Z Bao
International Journal of Services Technology and Management 22 (3-5), 271-286, 2016
Robust convergence analysis of three-operator splitting
H Wang, M Fazlyab, S Chen, VM Preciado
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning
C Zhang, H Wang, A Mitra, J Anderson
International Conference on Learning Representations (ICLR 2024), 2024
Learning Personalized Models with Clustered System Identification
LF Toso, H Wang, J Anderson
arXiv preprint arXiv:2304.01395, 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
G Lan, H Wang, J Anderson, C Brinton, V Aggarwal
Thirty-seventh Conference on Neural Information Processing Systems, 2023
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
Learning linear models using distributed iterative hessian sketching
H Wang, J Anderson
Learning for Dynamics and Control Conference, 427-440, 2022
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
Randomized-NLA methods for fast accurate real-time characterization of tokamak discharges from multiple data-streams
J Anderson, H Wang, M Mauel, J Levesque
APS Division of Plasma Physics Meeting Abstracts 2021, UP11. 135, 2021
Analysis of low-carbon transport in Beijing
J Chen, Z Bao, X Liu, Y Liang, H Wang
2015 International Conference on Logistics, Informatics and Service Sciences …, 2015
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