Guannan Qu

Guannan Qu

California Institute of Technology

H-index: 22

North America-United States

About Guannan Qu

Guannan Qu, With an exceptional h-index of 22 and a recent h-index of 22 (since 2020), a distinguished researcher at California Institute of Technology, specializes in the field of Reinforcement Learning, Control Theory, Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Decentralized graph-based multi-agent reinforcement learning using reward machines

Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale

Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems

CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design

Certifying black-box policies with stability for nonlinear control

Reinforcement Learning for Decision-Making and Control in Power Systems

Natural Policy Gradient Preserves Spatial Decay Properties for Control of Networked Dynamical Systems

Near-optimal distributed linear-quadratic regulator for networked systems

Guannan Qu Information

University

Position

___

Citations(all)

2667

Citations(since 2020)

2473

Cited By

895

hIndex(all)

22

hIndex(since 2020)

22

i10Index(all)

28

i10Index(since 2020)

27

Email

University Profile Page

Google Scholar

Guannan Qu Skills & Research Interests

Reinforcement Learning

Control Theory

Optimization

Top articles of Guannan Qu

Title

Journal

Author(s)

Publication Date

Decentralized graph-based multi-agent reinforcement learning using reward machines

Neurocomputing

Jueming Hu

Zhe Xu

Weichang Wang

Guannan Qu

Yutian Pang

...

2024/1/7

Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale

arXiv preprint arXiv:2403.00222

Emile Anand

Guannan Qu

2024/3/1

Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems

arXiv preprint arXiv:2402.01147

Neharika Jali

Guannan Qu

Weina Wang

Gauri Joshi

2024/2/2

CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design

arXiv preprint arXiv:2401.07369

Zeji Yi

Chaoyi Pan

Guanqi He

Guannan Qu

Guanya Shi

2024/1/14

Certifying black-box policies with stability for nonlinear control

IEEE Open Journal of Control Systems

Tongxin Li

Ruixiao Yang

Guannan Qu

Yiheng Lin

Adam Wierman

...

2023/2/1

Reinforcement Learning for Decision-Making and Control in Power Systems

Xin Chen

Guannan Qu

Yujie Tang

Steven Low

Na Li

2023/7/19

Natural Policy Gradient Preserves Spatial Decay Properties for Control of Networked Dynamical Systems

Eric Xu

Guannan Qu

2023/12/13

Near-optimal distributed linear-quadratic regulator for networked systems

SIAM Journal on Control and Optimization

Sungho Shin

Yiheng Lin

Guannan Qu

Adam Wierman

Mihai Anitescu

2023/6/30

KCRL: Krasovskii-Constrained Reinforcement Learning with Guaranteed Stability in Nonlinear Discrete-Time Systems

Sahin Lale

Yuanyuan Shi

Guannan Qu

Kamyar Azizzadenesheli

Adam Wierman

...

2023/12/13

Compositional neural certificates for networked dynamical systems

Songyuan Zhang

Yumeng Xiu

Guannan Qu

Chuchu Fan

2023/6/6

A Scalable Network-Aware Multi-Agent Reinforcement Learning Framework for Decentralized Inverter-based Voltage Control

arXiv preprint arXiv:2312.04371

Han Xu

Jialin Zheng

Guannan Qu

2023/12/7

Deep Reinforcement Learning-Based Spatiotemporal Decision of Utility-Scale Highway Portable Energy Storage Systems

IEEE Transactions on Industry Applications

Yongkang Ding

Guannan Qu

Xinjiang Chen

Jianxiao Wang

Jie Song

...

2023/5/10

Stability constrained reinforcement learning for decentralized real-time voltage control

IEEE Transactions on Control of Network Systems

Jie Feng

Yuanyuan Shi

Guannan Qu

Steven H Low

Anima Anandkumar

...

2023/12/1

Global convergence of localized policy iteration in networked multi-agent reinforcement learning

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Yizhou Zhang

Guannan Qu

Pan Xu

Yiheng Lin

Zaiwei Chen

...

2023/2/28

Stability and Regret bounds on Distributed Truncated Predictive Control for Networked Dynamical Systems

arXiv preprint arXiv:2310.06194

Eric Xu

Guannan Qu

2023/10/9

Stability constrained reinforcement learning for real-time voltage control

IEEE Transactions on Control of Network Systems

Jie Feng

Yuanyuan Shi

Guannan Qu

Steven H Low

Anima Anandkumar

...

2023/12/1

Robustness and consistency in linear quadratic control with untrusted predictions

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Tongxin Li

Ruixiao Yang

Guannan Qu

Guanya Shi

Chenkai Yu

...

2022/2/25

On the sample complexity of stabilizing lti systems on a single trajectory

Advances in Neural Information Processing Systems

Yang Hu

Adam Wierman

Guannan Qu

2022/12/6

Reinforcement learning for selective key applications in power systems: Recent advances and future challenges

Xin Chen

Guannan Qu

Yujie Tang

Steven Low

Na Li

2022/2/25

Bounded-regret mpc via perturbation analysis: Prediction error, constraints, and nonlinearity

Advances in Neural Information Processing Systems

Yiheng Lin

Yang Hu

Guannan Qu

Tongxin Li

Adam Wierman

2022/12/6

See List of Professors in Guannan Qu University(California Institute of Technology)

Co-Authors

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