Na Li
Orcid: 0000-0001-9545-3050Affiliations:
- Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, USA
- California Institute of Technology, Pasadena, CA, USA (PhD 2013)
According to our database1,
Na Li
authored at least 129 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Minimizing the Thompson Sampling Regret-to-Sigma Ratio (TS-RSR): a provably efficient algorithm for batch Bayesian Optimization.
CoRR, 2024
2023
Math. Program., November, 2023
Toward a Theoretical Foundation of Policy Optimization for Learning Control Policies.
Annu. Rev. Control. Robotics Auton. Syst., May, 2023
Autom., February, 2023
Towards Carbon-Free Electricity: A Comprehensive Flow-Based Framework for Power Grid Carbon Accounting and Decarbonization.
CoRR, 2023
Regularized Robust MDPs and Risk-Sensitive MDPs: Equivalence, Policy Gradient, and Sample Complexity.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Decentralized Riemannian natural gradient methods with Kronecker-product approximations.
CoRR, 2023
Proceedings of the Learning for Dynamics and Control Conference, 2023
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds.
Proceedings of the Learning for Dynamics and Control Conference, 2023
Proceedings of the Learning for Dynamics and Control Conference, 2023
Escaping saddle points in zeroth-order optimization: the power of two-point estimators.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023
Proceedings of the American Control Conference, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Oper. Res., November, 2022
Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges.
IEEE Trans. Smart Grid, 2022
Optimal Distributed Energy Resource Coordination: A Decomposition Method Based on Distribution Locational Marginal Costs.
IEEE Trans. Smart Grid, 2022
Control Reconfiguration of Dynamical Systems for Improved Performance via Reverse- and Forward-Engineering.
IEEE Trans. Autom. Control., 2022
Distributed Reinforcement Learning for Decentralized Linear Quadratic Control: A Derivative-Free Policy Optimization Approach.
IEEE Trans. Autom. Control., 2022
IEEE Control. Syst. Lett., 2022
Towards a Theoretical Foundation of Policy Optimization for Learning Control Policies.
CoRR, 2022
On the Effect of Log-Barrier Regularization in Decentralized Softmax Gradient Play in Multiagent Systems.
CoRR, 2022
System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation.
Autom., 2022
On the Global Convergence Rates of Decentralized Softmax Gradient Play in Markov Potential Games.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
IEEE Trans. Smart Grid, 2021
IEEE Trans. Smart Grid, 2021
IEEE Trans. Control. Netw. Syst., 2021
IEEE Trans. Control. Netw. Syst., 2021
IEEE Trans. Autom. Control., 2021
Online Optimization With Predictions and Switching Costs: Fast Algorithms and the Fundamental Limit.
IEEE Trans. Autom. Control., 2021
Non-Asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories.
IEEE Control. Syst. Lett., 2021
IEEE Control. Syst. Lett., 2021
Safe Adaptive Learning-based Control for Constrained Linear Quadratic Regulators with Regret Guarantees.
CoRR, 2021
Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence.
CoRR, 2021
CoRR, 2021
Reinforcement Learning for Decision-Making and Control in Power Systems: Tutorial, Review, and Vision.
CoRR, 2021
Robust hybrid zero-order optimization algorithms with acceleration via averaging in time.
Autom., 2021
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Federated Learning over Wireless Networks: A Band-limited Coordinated Descent Approach.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the 2021 American Control Conference, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
On Maintaining Linear Convergence of Distributed Learning and Optimization Under Limited Communication.
IEEE Trans. Signal Process., 2020
IEEE Trans. Smart Grid, 2020
IEEE Trans. Smart Grid, 2020
Semi-global exponential stability of augmented primal-dual gradient dynamics for constrained convex optimization.
Syst. Control. Lett., 2020
Control Reconfiguration of Dynamical Systems for Improved Performance via Reverse-engineering and Forward-engineering.
CoRR, 2020
A reliability-aware multi-armed bandit approach to learn and select users in demand response.
Autom., 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Leveraging Predictions in Smoothed Online Convex Optimization via Gradient-based Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Control Reconfiguration of Cyber-physical Systems for Improved Performance via Reverse-engineering and Accelerated First-order Algorithms.
Proceedings of the 11th ACM/IEEE International Conference on Cyber-Physical Systems, 2020
Distributed Optimal Voltage Control for Three Phase Unbalanced Distribution Systems with DERs.
Proceedings of the IEEE Industry Applications Society Annual Meeting, 2020
Proceedings of the 59th IEEE Conference on Decision and Control, 2020
Proceedings of the 2020 American Control Conference, 2020
2019
Optimal Scheduling of Battery Charging Station Serving Electric Vehicles Based on Battery Swapping.
IEEE Trans. Smart Grid, 2019
IEEE Control. Syst. Lett., 2019
CoRR, 2019
Semi-Global Exponential Stability of Primal-Dual Gradient Dynamics for Constrained Convex Optimization.
CoRR, 2019
Distributed greedy algorithm for multi-agent task assignment problem with submodular utility functions.
Autom., 2019
Online Optimal Control with Linear Dynamics and Predictions: Algorithms and Regret Analysis.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019
Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
Proceedings of the 2019 American Control Conference, 2019
Online Learning for Markov Decision Processes in Nonstationary Environments: A Dynamic Regret Analysis.
Proceedings of the 2019 American Control Conference, 2019
Proceedings of the 57th Annual Allerton Conference on Communication, 2019
2018
IEEE Trans. Control. Netw. Syst., 2018
Distributed Control for Reaching Optimal Steady State in Network Systems: An Optimization Approach.
IEEE Trans. Autom. Control., 2018
IEEE Trans. Autom. Control., 2018
Passivity-Based Distributed Optimization With Communication Delays Using PI Consensus Algorithm.
IEEE Trans. Autom. Control., 2018
Communication Complexity of Dual Decomposition Methods for Distributed Resource Allocation Optimization.
IEEE J. Sel. Top. Signal Process., 2018
Learning and Selecting the Right Customers for Reliability: A Multi-Armed Bandit Approach.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
Using Predictions in Online Optimization with Switching Costs: A Fast Algorithm and A Fundamental Limit.
Proceedings of the 2018 Annual American Control Conference, 2018
2017
Optimal Power Flow of Radial Networks and Its Variations: A Sequential Convex Optimization Approach.
IEEE Trans. Smart Grid, 2017
Decentralized and Distributed Temperature Control via HVAC Systems in Energy Efficient Buildings.
CoRR, 2017
Stochastic Primal-Dual Method on Riemannian Manifolds of Bounded Sectional Curvature.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Proceedings of the 2017 IEEE International Symposium on High Performance Computer Architecture, 2017
Community-level Geothermal Heat Pump system management via an aggregation-disaggregation framework.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Physics-integrated hierarchical/distributed HVAC optimization for multiple buildings with robustness against time delays.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
An integrated design of optimization and physical dynamics for energy efficient buildings: A passivity approach.
Proceedings of the IEEE Conference on Control Technology and Applications, 2017
Distributed temperature control via Geothermal Heat Pump systems in energy efficient buildings.
Proceedings of the 2017 American Control Conference, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
Connecting Automatic Generation Control and Economic Dispatch From an Optimization View.
IEEE Trans. Control. Netw. Syst., 2016
Proceedings of the 2016 Information Theory and Applications Workshop, 2016
Decentralized temperature control via HVAC systems in energy efficient buildings: An approximate solution procedure.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
Distributed resource allocation using one-way communication with applications to power networks.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016
Practical coding schemes for bandwidth limited one-way communication resource allocation.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016
Proceedings of the 2016 American Control Conference, 2016
Accelerated Distributed Nesterov Gradient Descent for smooth and strongly convex functions.
Proceedings of the 54th Annual Allerton Conference on Communication, 2016
2015
IEEE J. Sel. Areas Commun., 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
2014
IEEE Trans. Autom. Control., 2014
IEEE Trans. Autom. Control., 2014
IEEE J. Sel. Areas Commun., 2014
Stability constrained incentive design for distributed frequency control of power grid.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 52nd Annual Allerton Conference on Communication, 2014
2013
IEEE J. Sel. Top. Signal Process., 2013
2012
Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012
Designing games for distributed optimization with a time varying communication graph.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
2009
Learning approaches to the Witsenhausen counterexample from a view of potential games.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009