Zhaolin Ren

According to our database, Zhaolin Ren authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Gradient Play in Stochastic Games: Stationary Points, Convergence, and Sample Complexity.

Runyu Zhang, Zhaolin Ren, Na Li

IEEE Trans. Autom. Control., October, 2024

Scalable spectral representations for network multiagent control.

Zhaolin Ren, Runyu Zhang, Bo Dai, Na Li

CoRR, 2024

Distributed Thompson sampling under constrained communication.

Saba Zerefa, Zhaolin Ren, Haitong Ma, Na Li

CoRR, 2024

Enhancing Preference-based Linear Bandits via Human Response Time.

Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie A. Shah

CoRR, 2024

Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint.

Haitong Ma, Zhaolin Ren, Bo Dai, Na Li

CoRR, 2024

Minimizing the Thompson Sampling Regret-to-Sigma Ratio (TS-RSR): a provably efficient algorithm for batch Bayesian Optimization.

Zhaolin Ren, Na Li

CoRR, 2024

2023

Zeroth-order feedback optimization for cooperative multi-agent systems.

Yujie Tang, Zhaolin Ren, Na Li

Autom., February, 2023

On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds.

Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li

Proceedings of the Learning for Dynamics and Control Conference, 2023

Escaping saddle points in zeroth-order optimization: the power of two-point estimators.

Zhaolin Ren, Yujie Tang, Na Li

Proceedings of the International Conference on Machine Learning, 2023

FedDAR: Federated Domain-Aware Representation Learning.

Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding.

Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2021

Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence.

Runyu Zhang, Zhaolin Ren, Na Li

CoRR, 2021

LQR with Tracking: A Zeroth-order Approach and Its Global Convergence.

Zhaolin Ren, Aoxiao Zhong, Na Li

Proceedings of the 2021 American Control Conference, 2021

2020

Federated LQR: Learning through Sharing.

Zhaolin Ren, Aoxiao Zhong, Zhengyuan Zhou, Na Li

CoRR, 2020

Delay-Adaptive Distributed Stochastic Optimization.

Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu, Ajay Deshpande, Jayant Kalagnanam

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020