Guannan Qu
18 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Conference Polyglot
(7)
πΊοΈ
Taxonomy Completionist
(13)
π§
Keyword Pioneer
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Dynamic Duo
(10)
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Topic Evolution
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Keyword Champion
(3)
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Unstoppable
(6)
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Prolific Year
(5)
ποΈ
Keyword Collector
(78)
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Century Club
(18)
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Conference Pioneer
Conferences
NIPS (6)
L4DC (5)
ICML (3)
AISTATS (1)
COLT (1)
RSS (1)
UAI (1)
Top co-authors
Keywords
reinforcement learning
(4)
networked system
(4)
input-to-state stability
(3)
multi-agent reinforcement learning
(3)
linear time-varying system
(3)
model predictive control
(2)
dynamic regret
(2)
localized policy
(2)
predictive control
(2)
multi-agent system
(2)
regret bound
(2)
temporal difference learning
(1)
decentralized optimization
(1)
sample complexity
(1)
regret analysis
(1)
convergence analysis
(1)
model-based reinforcement learning
(1)
model-based learning
(1)
trajectory optimization
(1)
lyapunov function
(1)
Papers
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
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
RSS 2025
Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
ICML 2024
Model-based Diffusion for Trajectory Optimization
NIPS 2024
Efficient Reinforcement Learning for Routing Jobs in Heterogeneous Queueing Systems
AISTATS 2024
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
Compositional Neural Certificates for Networked Dynamical Systems
L4DC 2023
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
NIPS 2022
Decentralized Online Convex Optimization in Networked Systems
ICML 2022
Bounded-Regret MPC via Perturbation Analysis: Prediction Error, Constraints, and Nonlinearity
NIPS 2022
Stable Online Control of Linear Time-Varying Systems
L4DC 2021
Multi-Agent Reinforcement Learning in Stochastic Networked Systems
NIPS 2021
Perturbation-based Regret Analysis of Predictive Control in Linear Time Varying Systems
NIPS 2021
Scalable Multi-Agent Reinforcement Learning for Networked Systems with Average Reward
NIPS 2020
Finite-Time Analysis of Asynchronous Stochastic Approximation and $Q$-Learning
COLT 2020
Scalable Reinforcement Learning of Localized Policies for Multi-Agent Networked Systems
L4DC 2020