Learning approaches to the Witsenhausen counterexample from a view of potential games. - Na Li 002; Jason R. Marden; Jeff S. Shamma (CDC, 2009)

Designing games to handle coupled constraints. - Na Li 002; Jason R. Marden (CDC, 2010)

Demand response in radial distribution networks: Distributed algorithm. - Na Li 002; Lijun Chen 001; Steven H. Low (ACSCC, 2012)

On the exactness of convex relaxation for optimal power flow in tree networks. - Lingwen Gan; Na Li 002; Ufuk Topcu; Steven H. Low (CDC, 2012)

Designing games for distributed optimization with a time varying communication graph. - Na Li 002; Jason R. Marden (CDC, 2012)

An optimization-based demand response in radial distribution networks. - Na Li 002; Lingwen Gan; Lijun Chen 001; Steven H. Low (GLOBECOM Workshops, 2012)

Solar generation prediction using the ARMA model in a laboratory-level micro-grid. - Rui Huang; Tiana Huang; Rajit Gadh; Na Li 002 (SmartGridComm, 2012)

Exact convex relaxation of OPF for radial networks using branch flow model. - Na Li 002; Lijun Chen 001; Steven H. Low (SmartGridComm, 2012)

Optimal power flow in tree networks. - Lingwen Gan; Na Li 002; Ufuk Topcu; Steven H. Low (CDC, 2013)

Exact convex relaxation for optimal power flow in distribution networks. - Lingwen Gan; Na Li 002; Steven H. Low; Ufuk Topcu (SIGMETRICS, 2013)

Power System Dynamics as Primal-Dual Algorithm for Optimal Load Control - Changhong Zhao; Ufuk Topcu; Na Li 002; Steven H. Low (CoRR, 2013)

Designing Games for Distributed Optimization. - Na Li 002; Jason R. Marden (IEEE J. Sel. Top. Signal Process., 2013)

Real-time decentralized voltage control in distribution networks. - Na Li 002; Guannan Qu; Munther A. Dahleh (Allerton, 2014)

Connecting automatic generation control and economic dispatch from an optimization view. - Na Li 002; Lijun Chen 001; Changhong Zhao; Steven H. Low (ACC, 2014)

Stability constrained incentive design for distributed frequency control of power grid. - Minghui Zhu; Na Li 002 (CDC, 2014)

Optimal Residential Demand Response in Distribution Networks. - Wenbo Shi; Na Li 002; Xiaorong Xie; Chi-Cheng Peter Chu; Rajit Gadh (IEEE J. Sel. Areas Commun., 2014)

Decoupling Coupled Constraints Through Utility Design. - Na Li 002; Jason R. Marden (IEEE Trans. Autom. Control., 2014)

Design and Stability of Load-Side Primary Frequency Control in Power Systems. - Changhong Zhao; Ufuk Topcu; Na Li 002; Steven H. Low (IEEE Trans. Autom. Control., 2014)

Dynamic detection of transmission line outages using Hidden Markov Models. - Qingqing Huang 001; Leilai Shao; Na Li 002 (ACC, 2015)

A fully distributed state estimation using matrix splitting methods. - Ariana Minot; Na Li 002 (ACC, 2015)

Online convex optimization with ramp constraints. - Masoud Badiei; Na Li 002; Adam Wierman (CDC, 2015)

A market mechanism for electric distribution networks. - Na Li 002 (CDC, 2015)

Distributed optimal steady-state control using reverse- and forward-engineering. - Xuan Zhang 004; Antonis Papachristodoulou; Na Li 002 (CDC, 2015)

HHeal: A Personalized Health App for Flu Tracking and Prevention. - Na Li 002; Changkun Zhao; Eun Kyoung Choe; Frank E. Ritter (CHI Extended Abstracts, 2015)

TELLab: An Experiential Learning Tool for Psychology. - Na Li 002; Krzysztof Z. Gajos; Ken Nakayama; Ryan Enos (L@S, 2015)

Using and Designing Platforms for In Vivo Educational Experiments. - Joseph Jay Williams; Korinn Ostrow; Xiaolu Xiong; Elena L. Glassman; Juho Kim 001; Samuel G. Maldonado; Na Li 002; Justin Reich; Neil T. Heffernan (L@S, 2015)

Using and Designing Platforms for In Vivo Education Experiments. - Joseph Jay Williams; Korinn Ostrow; Xiaolu Xiong; Elena L. Glassman; Juho Kim 001; Samuel G. Maldonado; Na Li 002; Justin Reich; Neil T. Heffernan (CoRR, 2015)

On the Interaction Between Load Balancing and Speed Scaling. - Lijun Chen 001; Na Li 002 (IEEE J. Sel. Areas Commun., 2015)

Exact Convex Relaxation of Optimal Power Flow in Radial Networks. - Lingwen Gan; Na Li 002; Ufuk Topcu; Steven H. Low (IEEE Trans. Autom. Control., 2015)

Demand Response Using Linear Supply Function Bidding. - Na Li 002; Lijun Chen 001; Munther A. Dahleh (IEEE Trans. Smart Grid, 2015)

Accelerated Distributed Nesterov Gradient Descent for smooth and strongly convex functions. - Guannan Qu; Na Li 002 (Allerton, 2016)

Convergence of limited communications gradient methods. - Sindri Magnússon; Kathryn Heal; Chinwendu Enyioha; Na Li 002; Carlo Fischione; Vahid Tarokh (ACC, 2016)

DiBA: Distributed Power Budget Allocation for Large-Scale Computing Clusters. - Masoud Badiei; Xin Zhan; Reza Azimi; Sherief Reda; Na Li 002 (CCGrid, 2016)

An incentive-based approach to distributed estimation with strategic sensors. - Donya Ghavidel Dobakhshari; Na Li 002; Vijay Gupta 001 (CDC, 2016)

Practical coding schemes for bandwidth limited one-way communication resource allocation. - Sindri Magnússon; Chinwendu Enyioha; Na Li 002; Carlo Fischione (CDC, 2016)

Distributed resource allocation using one-way communication with applications to power networks. - Sindri Magnússon; Chinwendu Enyioha; Kathryn Heal; Na Li 002; Carlo Fischione; Vahid Tarokh (CISS, 2016)

Dynamical decentralized voltage control of multi-terminal HVDC grids. - Martin Andreasson; Na Li 002 (ECC, 2016)

Distributed regularized primal-dual method. - Masoud Badiei; Na Li 002 (GlobalSIP, 2016)

Decentralized temperature control via HVAC systems in energy efficient buildings: An approximate solution procedure. - Xuan Zhang 004; Wenbo Shi; Xiwang Li; Bin Yan; Ali Malkawi; Na Li 002 (GlobalSIP, 2016)

Asynchronous local voltage control in power distribution networks. - Hao Zhu; Na Li 002 (ICASSP, 2016)

Robustness analysis for an online decentralized descent power allocation algorithm. - Chinwendu Enyioha; Sindri Magnússon; Kathryn Heal; Na Li 002; Carlo Fischione; Vahid Tarokh (ITA, 2016)

A parallel primal-dual interior-point method for DC optimal power flow. - Ariana Minot; Yue M. Lu; Na Li 002 (PSCC, 2016)

Connecting Automatic Generation Control and Economic Dispatch From an Optimization View. - Na Li 002; Changhong Zhao; Lijun Chen 001 (IEEE Trans. Control. Netw. Syst., 2016)

Mechanism design for reliability in demand response with uncertainty. - Yingying Li; Na Li 002 (ACC, 2017)

Distributed temperature control via Geothermal Heat Pump systems in energy efficient buildings. - Xuan Zhang 004; Wenbo Shi; Qinran Hu; Bin Yan; Ali Malkawi; Na Li 002 (ACC, 2017)

An integrated design of optimization and physical dynamics for energy efficient buildings: A passivity approach. - Takeshi Hatanaka; Xuan Zhang 004; Wenbo Shi; Minghui Zhu; Na Li 002 (CCTA, 2017)

Harmonic reduction via optimal power flow and the frequency coupling matrix. - Yanhua Tian; Joshua A. Taylor; Na Li 002 (CCTA, 2017)

Physics-integrated hierarchical/distributed HVAC optimization for multiple buildings with robustness against time delays. - Takeshi Hatanaka; Xuan Zhang 004; Wenbo Shi; Minghui Zhu; Na Li 002 (CDC, 2017)

Real time economic dispatch for power networks: A distributed economic model predictive control approach. - Johannes Köhler 001; Matthias A. Müller 001; Na Li 002; Frank Allgöwer (CDC, 2017)

Accelerated distributed Nesterov Gradient Descent for convex and smooth functions. - Guannan Qu; Na Li 002 (CDC, 2017)

Community-level Geothermal Heat Pump system management via an aggregation-disaggregation framework. - Xuan Zhang 004; Bin Yan; Wenbo Shi; Ali Malkawi; Qing-Shan Jia; Na Li 002 (CDC, 2017)

Fast Decentralized Power Capping for Server Clusters. - Reza Azimi; Masoud Badiei; Xin Zhan; Na Li 002; Sherief Reda (HPCA, 2017)

Stochastic Primal-Dual Method on Riemannian Manifolds of Bounded Sectional Curvature. - Masoud Badiei Khuzani; Na Li 002 (ICMLA, 2017)

Decentralized and Distributed Temperature Control via HVAC Systems in Energy Efficient Buildings. - Xuan Zhang 004; Wenbo Shi; Bin Yan; Ali Malkawi; Na Li 002 (CoRR, 2017)

Real-Time Energy Management in Microgrids. - Wenbo Shi; Na Li 002; Chi-Cheng Peter Chu; Rajit Gadh (IEEE Trans. Smart Grid, 2017)

Optimal Power Flow of Radial Networks and Its Variations: A Sequential Convex Optimization Approach. - Wei Wei 007; Jianhui Wang 001; Na Li 002; Shengwei Mei (IEEE Trans. Smart Grid, 2017)

Aggregating Flexibility of Heterogeneous Energy Resources in Distribution Networks. - Tianyi Chen; Na Li 002; Georgios B. Giannakis (ACC, 2018)

Using Predictions in Online Optimization with Switching Costs: A Fast Algorithm and A Fundamental Limit. - Yingying Li; Guannan Qu; Na Li 002 (ACC, 2018)

On the Relationship between the VCG Mechanism and Market Clearing. - Takashi Tanaka; Na Li 002; Kenko Uchida (ACC, 2018)

Learning and Selecting the Right Customers for Reliability: A Multi-Armed Bandit Approach. - Yingying Li; Qinran Hu; Na Li 002 (CDC, 2018)

Communication Complexity of Dual Decomposition Methods for Distributed Resource Allocation Optimization. - Sindri Magnússon; Chinwendu Enyioha; Na Li 002; Carlo Fischione; Vahid Tarokh (IEEE J. Sel. Top. Signal Process., 2018)

Passivity-Based Distributed Optimization With Communication Delays Using PI Consensus Algorithm. - Takeshi Hatanaka; Nikhil Chopra; Takayuki Ishizaki; Na Li 002 (IEEE Trans. Autom. Control., 2018)

Convergence of Limited Communication Gradient Methods. - Sindri Magnússon; Chinwendu Enyioha; Na Li 002; Carlo Fischione; Vahid Tarokh (IEEE Trans. Autom. Control., 2018)

Distributed Control for Reaching Optimal Steady State in Network Systems: An Optimization Approach. - Xuan Zhang 004; Antonis Papachristodoulou; Na Li 002 (IEEE Trans. Autom. Control., 2018)

Harnessing Smoothness to Accelerate Distributed Optimization. - Guannan Qu; Na Li 002 (IEEE Trans. Control. Netw. Syst., 2018)

Distributed Zero-Order Algorithms for Nonconvex Multi-Agent optimization. - Yujie Tang 002; Na Li 002 (Allerton, 2019)

Online Learning for Markov Decision Processes in Nonstationary Environments: A Dynamic Regret Analysis. - Yingying Li; Na Li 002 (ACC, 2019)

Distributed Voltage Control with Communication Delays. - Sindri Magnússon; Guannan Qu; Na Li 002 (ACC, 2019)

Inducing Uniform Asymptotic Stability in Non-Autonomous Accelerated Optimization Dynamics via Hybrid Regularization. - Jorge I. Poveda; Na Li 002 (CDC, 2019)

Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure. - Guannan Qu; Na Li 002 (CDC, 2019)

Optimal Voltage Control Using Event Triggered Communication. - Sindri Magnússon; Carlo Fischione; Na Li 002 (e-Energy, 2019)

Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis. - Yingying Li; Xin Chen 036; Na Li 002 (NeurIPS, 2019)

Distributed greedy algorithm for multi-agent task assignment problem with submodular utility functions. - Guannan Qu; Dave Brown; Na Li 002 (Autom., 2019)

Semi-Global Exponential Stability of Primal-Dual Gradient Dynamics for Constrained Convex Optimization. - Yujie Tang 002; Guannan Qu; Na Li 002 (CoRR, 2019)

On the Parameterization of Stabilizing Controllers using Closed-loop Responses. - Yang Zheng 001; Luca Furieri; Maryam Kamgarpour; Na Li 002 (CoRR, 2019)

On the Exponential Stability of Primal-Dual Gradient Dynamics. - Guannan Qu; Na Li 002 (IEEE Control. Syst. Lett., 2019)

Voltage Control Using Limited Communication. - Sindri Magnússon; Guannan Qu; Carlo Fischione; Na Li 002 (IEEE Trans. Control. Netw. Syst., 2019)

Optimal Scheduling of Battery Charging Station Serving Electric Vehicles Based on Battery Swapping. - Xiaoqi Tan; Guannan Qu; Bo Sun 004; Na Li 002; Danny H. K. Tsang (IEEE Trans. Smart Grid, 2019)

Exponential Stability of Primal-Dual Gradient Dynamics with Non-Strong Convexity. - Xin Chen 036; Na Li 002 (ACC, 2020)

Distributed Optimal Voltage Control for Three Phase Unbalanced Distribution Systems with DERs. - Niloy Patari; Anurag K. Srivastava 001; Guannan Qu; Na Li 002 (IAS, 2020)

Control Reconfiguration of Cyber-physical Systems for Improved Performance via Reverse-engineering and Accelerated First-order Algorithms. - Han Shu; Xuan Zhang 004; Na Li 002; Antonis Papachristodoulou (ICCPS, 2020)

Soft Sensing Shirt for Shoulder Kinematics Estimation. - Yichu Jin; Christina M. Glover; Haedo Cho; Oluwaseun A. Araromi; Moritz A. Graule; Na Li 002; Robert J. Wood; Conor J. Walsh (ICRA, 2020)

Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. - Guannan Qu; Adam Wierman; Na Li 002 (L4DC, 2020)

Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms. - Yingying Li; Na Li 002 (NeurIPS, 2020)

Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. - Guannan Qu; Yiheng Lin 001; Adam Wierman; Na Li 002 (NeurIPS, 2020)

A reliability-aware multi-armed bandit approach to learn and select users in demand response. - Yingying Li; Qinran Hu; Na Li 002 (Autom., 2020)

Control Reconfiguration of Dynamical Systems for Improved Performance via Reverse-engineering and Forward-engineering. - Han Shu; Xuan Zhang 004; Na Li 002; Antonis Papachristodoulou (CoRR, 2020)

ASCII: ASsisted Classification with Ignorance Interchange. - Jiaying Zhou; Xun Xian; Na Li 002; Jie Ding 002 (CoRR, 2020)

Federated LQR: Learning through Sharing. - Zhaolin Ren; Aoxiao Zhong; Zhengyuan Zhou; Na Li 002 (CoRR, 2020)

Semi-global exponential stability of augmented primal-dual gradient dynamics for constrained convex optimization. - Yujie Tang 002; Guannan Qu; Na Li 002 (Syst. Control. Lett., 2020)

Accelerated Distributed Nesterov Gradient Descent. - Guannan Qu; Na Li 002 (IEEE Trans. Autom. Control., 2020)

Aggregate Power Flexibility in Unbalanced Distribution Systems. - Xin Chen 036; Emiliano Dall'Anese; Changhong Zhao; Na Li 002 (IEEE Trans. Smart Grid, 2020)

Distributed Optimal Voltage Control With Asynchronous and Delayed Communication. - Sindri Magnússon; Guannan Qu; Na Li 002 (IEEE Trans. Smart Grid, 2020)

A Market Mechanism for Virtual Inertia. - Bala Kameshwar Poolla; Saverio Bolognani; Na Li 002; Florian Dörfler (IEEE Trans. Smart Grid, 2020)

On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication. - Sindri Magnússon; Hossein Shokri Ghadikolaei; Na Li 002 (IEEE Trans. Signal Process., 2020)

Online Optimal Control with Affine Constraints. - Yingying Li; Subhro Das; Na Li 002 (AAAI, 2021)

LQR with Tracking: A Zeroth-order Approach and Its Global Convergence. - Zhaolin Ren; Aoxiao Zhong; Na Li 002 (ACC, 2021)

On the Regret Analysis of Online LQR Control with Predictions. - Runyu Zhang 001; Yingying Li; Na Li 002 (ACC, 2021)

Safe Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods. - Xin Chen 036; Jorge I. Poveda; Na Li 002 (CDC, 2021)

Assisted Learning: Cooperative AI with Autonomy. - Jiaying Zhou; Xun Xian; Na Li 002; Jie Ding 002 (ICASSP, 2021)

Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach. - Junshan Zhang; Na Li 002; Mehmet Dedeoglu (INFOCOM, 2021)

Source Seeking by Dynamic Source Location Estimation. - Tianpeng Zhang; Victor Qin; Yujie Tang 002; Na Li 002 (IROS, 2021)

Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems. - Yang Zheng 001; Luca Furieri; Maryam Kamgarpour; Na Li 002 (L4DC, 2021)

Robust hybrid zero-order optimization algorithms with acceleration via averaging in time. - Jorge I. Poveda; Na Li 002 (Autom., 2021)

Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision. - Xin Chen 036; Guannan Qu; Yujie Tang 002; Steven H. Low; Na Li 002 (CoRR, 2021)

Model-Free Optimal Voltage Control via Continuous-Time Zeroth-Order Methods. - Xin Chen 036; Jorge I. Poveda; Na Li 002 (CoRR, 2021)

Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence. - Runyu Zhang 001; Zhaolin Ren; Na Li 002 (CoRR, 2021)

Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees. - Yingying Li; Subhro Das; Jeff S. Shamma; Na Li 002 (CoRR, 2021)

Online Residential Demand Response via Contextual Multi-Armed Bandits. - Xin Chen 036; Yutong Nie; Na Li 002 (IEEE Control. Syst. Lett., 2021)

Non-Asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories. - Yang Zheng 001; Na Li 002 (IEEE Control. Syst. Lett., 2021)

Online Optimization With Predictions and Switching Costs: Fast Algorithms and the Fundamental Limit. - Yingying Li; Guannan Qu; Na Li 002 (IEEE Trans. Autom. Control., 2021)

On the Equivalence of Youla, System-Level, and Input-Output Parameterizations. - Yang Zheng 001; Luca Furieri; Antonis Papachristodoulou; Na Li 002; Maryam Kamgarpour (IEEE Trans. Autom. Control., 2021)

Distributed Automatic Load Frequency Control With Optimality in Power Systems. - Xin Chen 036; Changhong Zhao; Na Li 002 (IEEE Trans. Control. Netw. Syst., 2021)

Distributed Zero-Order Algorithms for Nonconvex Multiagent Optimization. - Yujie Tang 002; Junshan Zhang; Na Li 002 (IEEE Trans. Control. Netw. Syst., 2021)

Leveraging Two-Stage Adaptive Robust Optimization for Power Flexibility Aggregation. - Xin Chen 036; Na Li 002 (IEEE Trans. Smart Grid, 2021)

Online Learning and Distributed Control for Residential Demand Response. - Xin Chen 036; Yingying Li; Jun Shimada; Na Li 002 (IEEE Trans. Smart Grid, 2021)

Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control. - Yang Zheng 001; Yue Sun; Maryam Fazel; Na Li 002 (CDC, 2022)

Improve Single-Point Zeroth-Order Optimization Using High-Pass and Low-Pass Filters. - Xin Chen 036; Yujie Tang 002; Na Li 002 (ICML, 2022)

Policy Optimization for Markov Games: Unified Framework and Faster Convergence. - Runyu Zhang 001; Qinghua Liu; Huan Wang 014; Caiming Xiong; Na Li 002; Yu Bai 017 (NeurIPS, 2022)

On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games. - Runyu Zhang 001; Jincheng Mei; Bo Dai 001; Dale Schuurmans; Na Li 002 (NeurIPS, 2022)

System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation. - Yang Zheng 001; Luca Furieri; Maryam Kamgarpour; Na Li 002 (Autom., 2022)

On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems. - Runyu Zhang 001; Jincheng Mei; Bo Dai 001; Dale Schuurmans; Na Li 002 (CoRR, 2022)

Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies. - Bin Hu 002; Kaiqing Zhang; Na Li 002; Mehran Mesbahi; Maryam Fazel; Tamer Basar (CoRR, 2022)

Learning to Optimize with Stochastic Dominance Constraints. - Hanjun Dai; Yuan Xue; Niao He; Bethany Wang; Na Li 002; Dale Schuurmans; Bo Dai 001 (CoRR, 2022)

Multi-Agent Reinforcement Learning with Reward Delays. - Yuyang Zhang; Runyu Zhang 001; Gen Li 005; Yuantao Gu; Na Li 002 (CoRR, 2022)

Communication-Efficient Distributed SGD With Compressed Sensing. - Yujie Tang 002; Vikram Ramanathan; Junshan Zhang; Na Li 002 (IEEE Control. Syst. Lett., 2022)

Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach. - Yingying Li; Yujie Tang 002; Runyu Zhang 001; Na Li 002 (IEEE Trans. Autom. Control., 2022)

Control Reconfiguration of Dynamical Systems for Improved Performance via Reverse- and Forward-Engineering. - Han Shu; Xuan Zhang 004; Na Li 002; Antonis Papachristodoulou (IEEE Trans. Autom. Control., 2022)

Optimal Distributed Energy Resource Coordination: A Decomposition Method Based on Distribution Locational Marginal Costs. - Panagiotis Andrianesis 001; Michael Caramanis; Na Li 002 (IEEE Trans. Smart Grid, 2022)

Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges. - Xin Chen 036; Guannan Qu; Yujie Tang 002; Steven H. Low; Na Li 002 (IEEE Trans. Smart Grid, 2022)

Scalable Reinforcement Learning for Multiagent Networked Systems. - Guannan Qu; Adam Wierman; Na Li 002 (Oper. Res., 2022)

Learning to Optimize with Stochastic Dominance Constraints. - Hanjun Dai; Yuan Xue; Niao He; Yixin Wang; Na Li 002; Dale Schuurmans; Bo Dai 001 (AISTATS, 2023)

On the Optimal Control of Network LQR with Spatially-Exponential Decaying Structure. - Runyu Zhang 001; Weiyu Li; Na Li 002 (ACC, 2023)

Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding. - Tongzheng Ren; Zhaolin Ren; Na Li 002; Bo Dai 001 (CDC, 2023)

Markov Games with Decoupled Dynamics: Price of Anarchy and Sample Complexity. - Runyu Zhang 001; Yuyang Zhang; Rohit Konda; Bryce L. Ferguson; Jason R. Marden; Na Li 002 (CDC, 2023)

Multi-armed Bandit Learning on a Graph. - Tianpeng Zhang; Kasper Johansson; Na Li 002 (CISS, 2023)

Latent Variable Representation for Reinforcement Learning. - Tongzheng Ren; Chenjun Xiao; Tianjun Zhang; Na Li 002; Zhaoran Wang 001; Sujay Sanghavi; Dale Schuurmans; Bo Dai 001 (ICLR, 2023)

FedDAR: Federated Domain-Aware Representation Learning. - Aoxiao Zhong; Hao He; Zhaolin Ren; Na Li 002; Quanzheng Li (ICLR, 2023)

Escaping saddle points in zeroth-order optimization: the power of two-point estimators. - Zhaolin Ren; Yujie Tang 002; Na Li 002 (ICML, 2023)

Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. - Haitong Ma; Tianpeng Zhang; Yixuan Wu; Flávio P. Calmon; Na Li 002 (IROS, 2023)

Online switching control with stability and regret guarantees. - Yingying Li; James A. Preiss; Na Li 002; Yiheng Lin 001; Adam Wierman; Jeff S. Shamma (L4DC, 2023)

On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. - Zhaolin Ren; Yang Zheng 001; Maryam Fazel; Na Li 002 (L4DC, 2023)

Multi-Agent Reinforcement Learning with Reward Delays. - Yuyang Zhang; Runyu Zhang 001; Yuantao Gu; Na Li 002 (L4DC, 2023)

Decentralized Riemannian natural gradient methods with Kronecker-product approximations. - Jiang Hu; Kangkang Deng; Na Li 002; Quanzheng Li (CoRR, 2023)

Non-asymptotic System Identification for Linear Systems with Nonlinear Policies. - Yingying Li; Tianpeng Zhang; Subhro Das; Jeff S. Shamma; Na Li 002 (CoRR, 2023)

Regularized Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity. - Runyu Zhang 001; Yang Hu; Na Li 002 (CoRR, 2023)

Carbon-Aware Optimal Power Flow. - Xin Chen 036; Andy Sun; Wenbo Shi; Na Li 002 (CoRR, 2023)

Towards Carbon-Free Electricity: A Comprehensive Flow-Based Framework for Power Grid Carbon Accounting and Decarbonization. - Xin Chen 036; Hungpo Chao; Wenbo Shi; Na Li 002 (CoRR, 2023)

Zeroth-order feedback optimization for cooperative multi-agent systems. - Yujie Tang 002; Zhaolin Ren; Na Li 002 (Autom., 2023)

Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies. - Bin Hu 002; Kaiqing Zhang; Na Li 002; Mehran Mesbahi; Maryam Fazel; Tamer Basar (Annu. Rev. Control. Robotics Auton. Syst., 2023)

Analysis of the optimization landscape of Linear Quadratic Gaussian (LQG) control. - Yujie Tang 002; Yang Zheng 001; Na Li 002 (Math. Program., 2023)

Distributed Information-Based Source Seeking. - Tianpeng Zhang; Victor Qin; Yujie Tang 002; Na Li 002 (IEEE Trans. Robotics, 2023)

Scalable Reinforcement Learning for Linear-Quadratic Control of Networks. - Johan Olsson; Runyu Cathy Zhang 001; Emma Tegling; Na Li 002 (ACC, 2024)

Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis. - Phevos Paschalidis; Runyu Zhang 001; Na Li 002 (ACC, 2024)

Soft Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity. - Runyu Zhang 001; Yang Hu; Na Li 002 (ICLR, 2024)

Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint. - Haitong Ma; Zhaolin Ren; Bo Dai 001; Na Li 002 (IROS, 2024)

Multi-agent coverage control with transient behavior consideration. - Runyu Zhang 001; Haitong Ma; Na Li 002 (L4DC, 2024)

Enhancing Preference-based Linear Bandits via Human Response Time. - Shen Li 003; Yuyang Zhang; Zhaolin Ren; Claire Liang; Na Li 002; Julie A. Shah (NeurIPS, 2024)

AI Institute in Dynamic Systems: Developing machine learning and AI tools for scientific discovery, engineering design, and data-driven control. - J. Nathan Kutz; Steven L. Brunton; Krithika Manohar; Hod Lipson; Na Li 002 (AI Mag., 2024)

Minimizing the Thompson Sampling Regret-to-Sigma Ratio (TS-RSR): a provably efficient algorithm for batch Bayesian Optimization. - Zhaolin Ren; Na Li 002 (CoRR, 2024)

Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study. - Tianpeng Zhang; Sekeun Kim; Jerome Charton; Haitong Ma; Kyungsang Kim; Na Li 002; Quanzheng Li (CoRR, 2024)

Equilibrium Selection for Multi-agent Reinforcement Learning: A Unified Framework. - Runyu Zhang 001; Jeff S. Shamma; Na Li 002 (CoRR, 2024)

Drift to Remember. - Jin Du; Xinhe Zhang; Hao Shen; Xun Xian; Ganghua Wang; Jiawei Zhang 007; Yuhong Yang 002; Na Li 002; Jia Liu 002; Jie Ding 002 (CoRR, 2024)

Scalable spectral representations for network multiagent control. - Zhaolin Ren; Runyu Zhang 001; Bo Dai 001; Na Li 002 (CoRR, 2024)

Distributed Thompson Sampling Under Constrained Communication. - Saba Zerefa; Zhaolin Ren; Haitong Ma; Na Li 002 (IEEE Control. Syst. Lett., 2024)

Guest Editorial Special Issue on Reinforcement Learning-Based Control: Data-Efficient and Resilient Methods. - Weinan Gao; Na Li 002; Kyriakos G. Vamvoudakis; Fei Richard Yu; Zhong-Ping Jiang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Gradient Play in Stochastic Games: Stationary Points, Convergence, and Sample Complexity. - Runyu Zhang 001; Zhaolin Ren; Na Li 002 (IEEE Trans. Autom. Control., 2024)

Primal-Dual Spectral Representation for Off-policy Evaluation. - Yang Hu; Tianyi Chen; Na Li 002; Kai Wang; Bo Dai 001 (AISTATS, 2025)

Scalable spectral representations for multiagent reinforcement learning in network MDPs. - Zhaolin Ren; Runyu Zhang 001; Bo Dai 001; Na Li 002 (AISTATS, 2025)

Efficient Duple Perturbation Robustness in Low-rank MDPs. - Yang Hu; Haitong Ma; Na Li 002; Bo Dai 001 (L4DC, 2025)

Soft Diffusion Actor-Critic: Efficient Online Reinforcement Learning for Diffusion Policy. - Haitong Ma; Tianyi Chen; Kai Wang; Na Li 002; Bo Dai 001 (CoRR, 2025)

RODS: Robust Optimization Inspired Diffusion Sampling for Detecting and Reducing Hallucination in Generative Models. - Yiqi Tian; Pengfei Jin; Mingze Yuan; Na Li 002; Bo Zeng; Quanzheng Li (CoRR, 2025)

One-Step Flow Policy Mirror Descent. - Tianyi Chen; Haitong Ma; Na Li 002; Kai Wang; Bo Dai 001 (CoRR, 2025)

Enhancing gaze estimation accuracy in wearable eye-tracking devices using neural networks. - Jerome Charton; Tianpeng Zhang; Na Li 002; Quanzheng Li (Neural Comput. Appl., 2025)

Offline Imitation Learning upon Arbitrary Demonstrations by Pre-Training Dynamics Representations. - Haitong Ma; Bo Dai 001; Zhaolin Ren; Yebin Wang; Na Li 002 (CoRR, 2025)

Continuous-Time Zeroth-Order Dynamics With Projection Maps: Model-Free Feedback Optimization With Safety Guarantees. - Xin Chen 036; Jorge I. Poveda; Na Li 002 (IEEE Trans. Autom. Control., 2025)