Guannan Qu
18 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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Conference Pioneer
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Research topics
Keywords
reinforcement learning
(4)
networked system
(4)
linear time-varying system
(3)
multi-agent reinforcement learning
(3)
input-to-state stability
(3)
dynamic regret
(2)
model predictive control
(2)
multi-agent system
(2)
localized policy
(2)
linear time-invariant system
(2)
regret bound
(2)
predictive control
(2)
temporal difference learning
(1)
decentralized optimization
(1)
sample complexity
(1)
regret analysis
(1)
convergence analysis
(1)
trajectory optimization
(1)
model-based learning
(1)
system identification
(1)
Papers
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
RSS 2025
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
ICML 2025
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
UAI 2025
Combining model-based controller and ML advice via convex reparameterization
L4DC 2024
CoVO-MPC: Theoretical analysis of sampling-based MPC and optimal covariance design
L4DC 2024
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems
AISTATS 2024
Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
ICML 2024
Model-based Diffusion for Trajectory Optimization
NeurIPS 2024
Compositional Neural Certificates for Networked Dynamical Systems
L4DC 2023
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity
NeurIPS 2022
Decentralized Online Convex Optimization in Networked Systems
ICML 2022
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
NeurIPS 2022
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
NeurIPS 2021
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
NeurIPS 2021
Stable Online Control of Linear Time-Varying Systems
L4DC 2021
Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning
COLT 2020
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
NeurIPS 2020
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems
L4DC 2020