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:

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

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

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

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

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

Stability constrained reinforcement learning for decentralized real-time voltage control

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

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

arXiv preprint arXiv:2403.00222

2024/3/1

Guannan Qu
Guannan Qu

H-Index: 13

Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems

arXiv preprint arXiv:2402.01147

2024/2/2

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

arXiv preprint arXiv:2401.07369

2024/1/14

Guannan Qu
Guannan Qu

H-Index: 13

Guanya Shi
Guanya Shi

H-Index: 7

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

Neurocomputing

2024/1/7

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

2023/12/13

Guannan Qu
Guannan Qu

H-Index: 13

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

2023/12/13

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

arXiv preprint arXiv:2312.04371

2023/12/7

Han Xu
Han Xu

H-Index: 3

Guannan Qu
Guannan Qu

H-Index: 13

Stability constrained reinforcement learning for decentralized real-time voltage control

IEEE Transactions on Control of Network Systems

2023/12/1

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

arXiv preprint arXiv:2310.06194

2023/10/9

Guannan Qu
Guannan Qu

H-Index: 13

Reinforcement Learning for Decision-Making and Control in Power Systems

2023/7/19

Near-optimal distributed linear-quadratic regulator for networked systems

SIAM Journal on Control and Optimization

2023/6/30

Compositional neural certificates for networked dynamical systems

2023/6/6

Guannan Qu
Guannan Qu

H-Index: 13

Chuchu Fan
Chuchu Fan

H-Index: 11

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

IEEE Transactions on Industry Applications

2023/5/10

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

Proceedings of the ACM on Measurement and Analysis of Computing Systems

2023/2/28

Certifying black-box policies with stability for nonlinear control

IEEE Open Journal of Control Systems

2023/2/1

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

Advances in Neural Information Processing Systems

2022/12/6

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

Advances in Neural Information Processing Systems

2022/12/6

Scalable reinforcement learning for multiagent networked systems

Operations Research

2022/2/23

Decentralized online convex optimization in networked systems

2022/6/28

Stability constrained reinforcement learning for real-time voltage control

IEEE Transactions on Control of Network Systems

2023/12/1

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

Co-Authors

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