Han Wang

27 papers A* 3C 2Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Model-Free Learning with Heterogeneous Dynamical Systems: A Federated LQR Approach.
Trans. Mach. Learn. Res.
Han Wang, Leonardo Felipe Toso, Aritra Mitra, James Anderson
2024 — conf
Asynchronous Heterogeneous Linear Quadratic Regulator Design.
CDC
Leonardo F. Toso, Han Wang, James Anderson
2024 J jnl
Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity.
Trans. Mach. Learn. Res.
Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
2024 A* conf
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning.
ICLR
Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson
2024 J jnl
Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning.
CoRR
Chenyu Zhang, Han Wang, Aritra Mitra, 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 — conf
Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR.
L4DC
Leonardo Felipe Toso, Donglin Zhan, James Anderson, Han Wang
2024 A* conf
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments.
ICML
Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson
2024 J jnl
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments.
CoRR
Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson
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
2023 — conf
FedSysID: A Federated Approach to Sample-Efficient System Identification.
L4DC
Han Wang, Leonardo Felipe Toso, James Anderson
2023 J jnl
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity.
CoRR
Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson
2023 A* conf
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates.
NeurIPS
Guangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal
2023 J jnl
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates.
CoRR
Guangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal
2023 — conf
Learning Personalized Models with Clustered System Identification.
CDC
Leonardo F. Toso, Han Wang, James Anderson
2023 J jnl
Learning Personalized Models with Clustered System Identification.
CoRR
Leonardo Felipe Toso, Han Wang, James Anderson
2023 J jnl
Oracle Complexity Reduction for Model-free LQR: A Stochastic Variance-Reduced Policy Gradient Approach.
CoRR
Leonardo Felipe Toso, Han Wang, James Anderson
2022 J jnl
FedADMM: A Federated Primal-Dual Algorithm Allowing Partial Participation.
CoRR
Han Wang, Siddartha Marella, James Anderson
2022 — conf
FedADMM: A federated primal-dual algorithm allowing partial participation.
CDC
Han Wang, Siddartha Marella, James Anderson
2022 J jnl
FedSysID: A Federated Approach to Sample-Efficient System Identification.
CoRR
Han Wang, Leonardo Felipe Toso, James Anderson
2022 C conf
Large-Scale System Identification Using a Randomized SVD.
ACC
Han Wang, James Anderson
2022 — conf
Learning Linear Models Using Distributed Iterative Hessian Sketching.
L4DC
Han Wang, James Anderson
2021 J jnl
Large-Scale System Identification Using a Randomized SVD.
CoRR
Han Wang, James Anderson
2021 J jnl
Learning Linear Models Using Distributed Iterative Hessian Sketching.
CoRR
Han Wang, James Anderson
2020 — conf
Robust Closed-loop Model Predictive Control via System Level Synthesis.
CDC
Shaoru Chen, Han Wang, Manfred Morari, Victor M. Preciado, Nikolai Matni
2019 — conf
Robust Convergence Analysis of Three-Operator Splitting.
Allerton
Han Wang, Mahyar Fazlyab, Shaoru Chen, Victor M. Preciado
2016 J jnl
Analysis of carbon emissions from transportation in Beijing.
Int. J. Serv. Technol. Manag.
Jiang Chen, Han Wang, Xin Zhang, Sihan Chen, Zongyu Bao