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Guannan Qu
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Publications
- 2022
- [j24]Guannan Qu, Adam Wierman, Na Li:
Scalable Reinforcement Learning for Multiagent Networked Systems. Oper. Res. 70(6): 3601-3628 (2022) - [j22]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): 2935-2958 (2022) - 2021
- [j20]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): 4761-4768 (2021) - [i15]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 abs/2102.01168 (2021) - 2020
- [j17]Yujie Tang, Guannan Qu, Na Li:
Semi-global exponential stability of augmented primal-dual gradient dynamics for constrained convex optimization. Syst. Control. Lett. 144: 104754 (2020) - [j16]Guannan Qu, Na Li:
Accelerated Distributed Nesterov Gradient Descent. IEEE Trans. Autom. Control. 65(6): 2566-2581 (2020) - [j15]Sindri Magnússon, Guannan Qu, Na Li:
Distributed Optimal Voltage Control With Asynchronous and Delayed Communication. IEEE Trans. Smart Grid 11(4): 3469-3482 (2020) - [c24]Niloy Patari, Anurag K. Srivastava, Guannan Qu, Na Li:
Distributed Optimal Voltage Control for Three Phase Unbalanced Distribution Systems with DERs. IAS 2020: 1-8 - [c23]Guannan Qu, Adam Wierman, Na Li:
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. L4DC 2020: 256-266 - [c22]Guannan Qu, Yiheng Lin, Adam Wierman, Na Li:
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. NeurIPS 2020 - [i7]Guannan Qu, Yiheng Lin, Adam Wierman, Na Li:
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward. CoRR abs/2006.06626 (2020) - 2019
- [j13]Guannan Qu, Dave Brown, Na Li:
Distributed greedy algorithm for multi-agent task assignment problem with submodular utility functions. Autom. 105: 206-215 (2019) - [j12]Guannan Qu, Na Li:
On the Exponential Stability of Primal-Dual Gradient Dynamics. IEEE Control. Syst. Lett. 3(1): 43-48 (2019) - [j11]Sindri Magnússon, Guannan Qu, Carlo Fischione, Na Li:
Voltage Control Using Limited Communication. IEEE Trans. Control. Netw. Syst. 6(3): 993-1003 (2019) - [j10]Xiaoqi Tan, Guannan Qu, Bo Sun, Na Li, Danny H. K. Tsang:
Optimal Scheduling of Battery Charging Station Serving Electric Vehicles Based on Battery Swapping. IEEE Trans. Smart Grid 10(2): 1372-1384 (2019) - [c20]Sindri Magnússon, Guannan Qu, Na Li:
Distributed Voltage Control with Communication Delays. ACC 2019: 3895-3900 - [c19]Guannan Qu, Na Li:
Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure. CDC 2019: 6479-6486 - [i4]Sindri Magnússon, Guannan Qu, Na Li:
Distributed Voltage Control with Communication Delays. CoRR abs/1903.01065 (2019) - [i3]Yujie Tang, Guannan Qu, Na Li:
Semi-Global Exponential Stability of Primal-Dual Gradient Dynamics for Constrained Convex Optimization. CoRR abs/1903.09580 (2019) - [i2]Guannan Qu, Na Li:
Exploiting Fast Decaying and Locality in Multi-Agent MDP with Tree Dependence Structure. CoRR abs/1909.06900 (2019) - [i1]Guannan Qu, Adam Wierman, Na Li:
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems. CoRR abs/1912.02906 (2019) - 2018
- [j8]Guannan Qu, Na Li:
Harnessing Smoothness to Accelerate Distributed Optimization. IEEE Trans. Control. Netw. Syst. 5(3): 1245-1260 (2018) - [c18]Yingying Li, Guannan Qu, Na Li:
Using Predictions in Online Optimization with Switching Costs: A Fast Algorithm and A Fundamental Limit. ACC 2018: 3008-3013 - 2017
- [c17]Guannan Qu, Na Li:
Accelerated distributed Nesterov Gradient Descent for convex and smooth functions. CDC 2017: 2260-2267 - 2016
- [c13]Guannan Qu, Na Li:
Accelerated Distributed Nesterov Gradient Descent for smooth and strongly convex functions. Allerton 2016: 209-216 - [c12]Guannan Qu, Na Li:
Harnessing smoothness to accelerate distributed optimization. CDC 2016: 159-166 - 2014
- [c10]Na Li, Guannan Qu, Munther A. Dahleh:
Real-time decentralized voltage control in distribution networks. Allerton 2014: 582-588
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