Han Wang

According to our database, Han Wang authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Federated TD Learning with Linear Function Approximation under Environmental Heterogeneity.

Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson

Trans. Mach. Learn. Res., 2024

Meta-learning linear quadratic regulators: A policy gradient MAML approach for model-free LQR.

Leonardo Felipe Toso, Donglin Zhan, James Anderson, Han Wang

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments.

Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning.

Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Oracle Complexity Reduction for Model-Free LQR: A Stochastic Variance-Reduced Policy Gradient Approach.

Leonardo F. Toso, Han Wang, James Anderson

Proceedings of the American Control Conference, 2024

2023

Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity.

Han Wang, Aritra Mitra, Hamed Hassani, George J. Pappas, James Anderson

CoRR, 2023

Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates.

Guangchen Lan, Han Wang, James Anderson, Christopher G. Brinton, Vaneet Aggarwal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FedSysID: A Federated Approach to Sample-Efficient System Identification.

Han Wang, Leonardo Felipe Toso, James Anderson

Proceedings of the Learning for Dynamics and Control Conference, 2023

Learning Personalized Models with Clustered System Identification.

Leonardo F. Toso, Han Wang, James Anderson

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Learning Linear Models Using Distributed Iterative Hessian Sketching.

Han Wang, James Anderson

Proceedings of the Learning for Dynamics and Control Conference, 2022

FedADMM: A federated primal-dual algorithm allowing partial participation.

Han Wang, Siddartha Marella, James Anderson

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Large-Scale System Identification Using a Randomized SVD.

Han Wang, James Anderson

Proceedings of the American Control Conference, 2022

2020

Robust Closed-loop Model Predictive Control via System Level Synthesis.

Shaoru Chen, Han Wang, Manfred Morari, Victor M. Preciado, Nikolai Matni

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Robust Convergence Analysis of Three-Operator Splitting.

Han Wang, Mahyar Fazlyab, Shaoru Chen, Victor M. Preciado

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2016

Analysis of carbon emissions from transportation in Beijing.

Jiang Chen, Han Wang, Xin Zhang, Sihan Chen, Zongyu Bao

Int. J. Serv. Technol. Manag., 2016