Na Li

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 156

Top Venues

CoRR

CDC

IEEE Trans. Smart Grid

ACC

Publications

Runyu Zhang, Haitong Ma, Na Li
Multi-agent coverage control with transient behavior consideration. L4DC (2024)
J. Nathan Kutz, Steven L. Brunton, Krithika Manohar, Hod Lipson, Na Li
AI Institute in Dynamic Systems: Developing machine learning and AI tools for scientific discovery, engineering design, and data-driven control. AI Mag. 45 (1) (2024)
Runyu Zhang, Yang Hu, Na Li
Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity. ICLR (2024)
Yang Hu, Haitong Ma, Bo Dai, Na Li
Efficient Duple Perturbation Robustness in Low-rank MDPs. CoRR (2024)
Haitong Ma, Zhaolin Ren, Bo Dai, Na Li
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint. CoRR (2024)
Zhaolin Ren, Na Li
Minimizing the Thompson Sampling Regret-to-Sigma Ratio (TS-RSR): a provably efficient algorithm for batch Bayesian Optimization. CoRR (2024)
Weinan Gao, Na Li, Kyriakos G. Vamvoudakis, Fei Richard Yu, Zhong-Ping Jiang
Guest Editorial Special Issue on Reinforcement Learning-Based Control: Data-Efficient and Resilient Methods. IEEE Trans. Neural Networks Learn. Syst. 35 (3) (2024)
Johan Olsson, Runyu Zhang, Emma Tegling, Na Li
Scalable Reinforcement Learning for Linear-Quadratic Control of Networks. CoRR (2024)
Tianpeng Zhang, Sekeun Kim, Jerome Charton, Haitong Ma, Kyungsang Kim, Na Li, Quanzheng Li
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study. CoRR (2024)
Phevos Paschalidis, Runyu Zhang, Na Li
Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis. CoRR (2024)
Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. IROS (2023)
Hanjun Dai, Yuan Xue, Niao He, Yixin Wang, Na Li, Dale Schuurmans, Bo Dai
Learning to Optimize with Stochastic Dominance Constraints. AISTATS (2023)
Zhaolin Ren, Yujie Tang, Na Li
Escaping saddle points in zeroth-order optimization: the power of two-point estimators. ICML (2023)
Tianpeng Zhang, Victor Qin, Yujie Tang, Na Li
Distributed Information-Based Source Seeking. IEEE Trans. Robotics 39 (6) (2023)
Tianpeng Zhang, Kasper Johansson, Na Li
Multi-armed Bandit Learning on a Graph. CISS (2023)
Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
Latent Variable Representation for Reinforcement Learning. ICLR (2023)
Yingying Li, Tianpeng Zhang, Subhro Das, Jeff S. Shamma, Na Li
Non-asymptotic System Identification for Linear Systems with Nonlinear Policies. CoRR (2023)
Runyu Zhang, Weiyu Li, Na Li
On the Optimal Control of Network LQR with Spatially-Exponential Decaying Structure. ACC (2023)
Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma
Online switching control with stability and regret guarantees. CoRR (2023)
Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. L4DC (2023)
Bin Hu, Kaiqing Zhang, Na Li, Mehran Mesbahi, Maryam Fazel, Tamer Basar
Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies. Annu. Rev. Control. Robotics Auton. Syst. 6 (2023)
Yuyang Zhang, Runyu Zhang, Yuantao Gu, Na Li
Multi-Agent Reinforcement Learning with Reward Delays. L4DC (2023)
Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li
FedDAR: Federated Domain-Aware Representation Learning. ICLR (2023)
Jiang Hu, Kangkang Deng, Na Li, Quanzheng Li
Decentralized Riemannian natural gradient methods with Kronecker-product approximations. CoRR (2023)
Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding. CDC (2023)
Xin Chen, Andy Sun, Wenbo Shi, Na Li
Carbon-Aware Optimal Power Flow. CoRR (2023)
Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flavio P. Calmon, Na Li
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. CoRR (2023)
Yingying Li, James A. Preiss, Na Li, Yiheng Lin, Adam Wierman, Jeff S. Shamma
Online switching control with stability and regret guarantees. L4DC (2023)
Yujie Tang, Yang Zheng, Na Li
Analysis of the optimization landscape of Linear Quadratic Gaussian (LQG) control. Math. Program. 202 (1) (2023)
Yujie Tang, Zhaolin Ren, Na Li
Zeroth-order feedback optimization for cooperative multi-agent systems. Autom. 148 (2023)
Xin Chen, Hungpo Chao, Wenbo Shi, Na Li
Towards Carbon-Free Electricity: A Comprehensive Flow-Based Framework for Power Grid Carbon Accounting and Decarbonization. CoRR (2023)
Yuyang Zhang, Runyu Zhang, Gen Li, Yuantao Gu, Na Li
Multi-Agent Reinforcement Learning with Reward Delays. CoRR (2022)
Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai
Policy Optimization for Markov Games: Unified Framework and Faster Convergence. NeurIPS (2022)
Guannan Qu, Adam Wierman, Na Li
Scalable Reinforcement Learning for Multiagent Networked Systems. Oper. Res. 70 (6) (2022)
Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li
FedDAR: Federated Domain-Aware Representation Learning. CoRR (2022)
Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems. CoRR (2022)
Xin Chen, Yujie Tang, Na Li
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters. ICML (2022)
Panagiotis Andrianesis, Michael Caramanis, Na Li
Optimal Distributed Energy Resource Coordination: A Decomposition Method Based on Distribution Locational Marginal Costs. IEEE Trans. Smart Grid 13 (2) (2022)
Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, Sujay Sanghavi, Dale Schuurmans, Bo Dai
Latent Variable Representation for Reinforcement Learning. CoRR (2022)
Runyu Zhang, Jincheng Mei, Bo Dai, Dale Schuurmans, Na Li
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games. NeurIPS (2022)
Yingying Li, Yujie Tang, Runyu Zhang, Na Li
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. IEEE Trans. Autom. Control. 67 (12) (2022)
Tianpeng Zhang, Kasper Johansson, Na Li
Multi-armed Bandit Learning on a Graph. CoRR (2022)
Hanjun Dai, Yuan Xue, Niao He, Bethany Wang, Na Li, Dale Schuurmans, Bo Dai
Learning to Optimize with Stochastic Dominance Constraints. CoRR (2022)
Yujie Tang, Vikram Ramanathan, Junshan Zhang, Na Li
Communication-Efficient Distributed SGD With Compressed Sensing. IEEE Control. Syst. Lett. 6 (2022)
Xin Chen, Guannan Qu, Yujie Tang, Steven H. Low, Na Li
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges. IEEE Trans. Smart Grid 13 (4) (2022)
Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation. Autom. 140 (2022)
Han Shu, Xuan Zhang, Na Li, Antonis Papachristodoulou
Control Reconfiguration of Dynamical Systems for Improved Performance via Reverse- and Forward-Engineering. IEEE Trans. Autom. Control. 67 (3) (2022)
Xin Chen, Yingying Li, Jun Shimada, Na Li
Online Learning and Distributed Control for Residential Demand Response. IEEE Trans. Smart Grid 12 (6) (2021)
Xin Chen, Na Li
Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation. IEEE Trans. Smart Grid 12 (5) (2021)
Runyu Zhang, Yingying Li, Na Li
On the Regret Analysis of Online LQR Control with Predictions. ACC (2021)
Junshan Zhang, Na Li, Mehmet Dedeoglu
Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach. INFOCOM (2021)
Jorge I. Poveda, Na Li
Robust hybrid zero-order optimization algorithms with acceleration via averaging in time. Autom. 123 (2021)
Yang Zheng, Na Li
Non-asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories. ACC (2021)
Xin Chen, Yujie Tang, Na Li
Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters. CoRR (2021)
Zhaolin Ren, Aoxiao Zhong, Na Li
LQR with Tracking: A Zeroth-order Approach and Its Global Convergence. ACC (2021)
Yujie Tang, Junshan Zhang, Na Li
Distributed Zero-Order Algorithms for Nonconvex Multiagent Optimization. IEEE Trans. Control. Netw. Syst. 8 (1) (2021)
Runyu Zhang, Zhaolin Ren, Na Li
Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence. CoRR (2021)
Yang Zheng, Yujie Tang, Na Li
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control. CoRR (2021)
Yang Zheng, Luca Furieri, Antonis Papachristodoulou, Na Li, Maryam Kamgarpour
On the Equivalence of Youla, System-Level, and Input-Output Parameterizations. IEEE Trans. Autom. Control. 66 (1) (2021)
Yujie Tang, Yang Zheng, Na Li
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control. L4DC (2021)
Xin Chen, Guannan Qu, Yujie Tang, Steven H. Low, Na Li
Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision. CoRR (2021)
Yingying Li, Subhro Das, Na Li
Online Optimal Control with Affine Constraints. AAAI (2021)
Yang Zheng, Na Li
Non-Asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories. IEEE Control. Syst. Lett. 5 (5) (2021)
Yang Zheng, Luca Furieri, Maryam Kamgarpour, Na Li
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems. L4DC (2021)
Yujie Tang, Vikram Ramanathan, Junshan Zhang, Na Li
Communication-Efficient Distributed SGD with Compressed Sensing. CoRR (2021)
Xin Chen, Jorge I. Poveda, Na Li
Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods. CoRR (2021)
Junshan Zhang, Na Li, Mehmet Dedeoglu
Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach. CoRR (2021)
Xin Chen, Changhong Zhao, Na Li
Distributed Automatic Load Frequency Control With Optimality in Power Systems. IEEE Trans. Control. Netw. Syst. 8 (1) (2021)
Tianpeng Zhang, Victor Qin, Yujie Tang, Na Li
Source Seeking by Dynamic Source Location Estimation. IROS (2021)
Xin Chen, Yutong Nie, Na Li
Online Residential Demand Response via Contextual Multi-Armed Bandits. IEEE Control. Syst. Lett. 5 (2) (2021)
Yingying Li, Guannan Qu, Na Li
Online Optimization With Predictions and Switching Costs: Fast Algorithms and the Fundamental Limit. IEEE Trans. Autom. Control. 66 (10) (2021)
Yujie Tang, Zhaolin Ren, Na Li
Zeroth-order Feedback Optimization for Cooperative Multi-Agent Systems. CDC (2020)
Xin Chen, Na Li
Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation. CoRR (2020)
Zhaolin Ren, Aoxiao Zhong, Zhengyuan Zhou, Na Li
Federated LQR: Learning through Sharing. CoRR (2020)
Han Shu, Xuan Zhang, Na Li, Antonis Papachristodoulou
Control Reconfiguration of Dynamical Systems for Improved Performance via Reverse-engineering and Forward-engineering. CoRR (2020)
Xin Chen, Emiliano Dall'Anese, Changhong Zhao, Na Li
Aggregate Power Flexibility in Unbalanced Distribution Systems. IEEE Trans. Smart Grid 11 (1) (2020)
Yingying Li, Yujie Tang, Runyu Zhang, Na Li
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. L4DC (2020)
Yingying Li, Na Li
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms. CoRR (2020)
Yang Zheng, Na Li
Non-asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories. CoRR (2020)
Yingying Li, Qinran Hu, Na Li
A Reliability-aware Multi-armed Bandit Approach to Learn and Select Users in Demand Response. CoRR (2020)
Sindri Magnússon, Hossein Shokri Ghadikolaei, Na Li
On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication. IEEE Trans. Signal Process. 68 (2020)
Guannan Qu, Yiheng Lin, Adam Wierman, Na Li
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. CoRR (2020)
Xin Chen, Yingying Li, Jun Shimada, Na Li
Online Learning and Distributed Control for Residential Demand Response. CoRR (2020)
Guannan Qu, Adam Wierman, Na Li
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. L4DC (2020)
Han Shu, Xuan Zhang, Na Li, Antonis Papachristodoulou
Control Reconfiguration of Cyber-physical Systems for Improved Performance via Reverse-engineering and Accelerated First-order Algorithms. ICCPS (2020)
Bala Kameshwar Poolla, Saverio Bolognani, Na Li, Florian Dörfler
A Market Mechanism for Virtual Inertia. IEEE Trans. Smart Grid 11 (4) (2020)
Niloy Patari, Anurag K. Srivastava, Guannan Qu, Na Li
Distributed Optimal Voltage Control for Three Phase Unbalanced Distribution Systems with DERs. IAS (2020)
Sindri Magnússon, Guannan Qu, Na Li
Distributed Optimal Voltage Control With Asynchronous and Delayed Communication. IEEE Trans. Smart Grid 11 (4) (2020)
Guannan Qu, Na Li
Accelerated Distributed Nesterov Gradient Descent. IEEE Trans. Autom. Control. 65 (6) (2020)
Xin Chen, Yutong Nie, Na Li
Online Residential Demand Response via Contextual Multi-Armed Bandits. CoRR (2020)
Yujie Tang, Zhaolin Ren, Na Li
Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems. CoRR (2020)
Guannan Qu, Yiheng Lin, Adam Wierman, Na Li
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. NeurIPS (2020)
Yujie Tang, Guannan Qu, Na Li
Semi-global exponential stability of augmented primal-dual gradient dynamics for constrained convex optimization. Syst. Control. Lett. 144 (2020)
Yingying Li, Qinran Hu, Na Li
A reliability-aware multi-armed bandit approach to learn and select users in demand response. Autom. 119 (2020)
Xin Chen, Na Li
Exponential Stability of Primal-Dual Gradient Dynamics with Non-Strong Convexity. ACC (2020)
Yingying Li, Na Li
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms. NeurIPS (2020)
Yingying Li, Subhro Das, Na Li
Online Optimal Control with Affine Constraints. CoRR (2020)
Yingying Li, Yujie Tang, Runyu Zhang, Na Li
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. CoRR (2019)
Guannan Qu, Dave Brown, Na Li
Distributed greedy algorithm for multi-agent task assignment problem with submodular utility functions. Autom. 105 (2019)
Guannan Qu, Na Li
Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Na Li