Han Wang - RankMe

27 papers A* 3C 2Journal 14Unranked 8

Year	Rank	Type	Title / 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