Delay-Adaptive Distributed Stochastic Optimization. - Zhaolin Ren; Zhengyuan Zhou; Linhai Qiu; Ajay Deshpande; Jayant Kalagnanam (AAAI, 2020)

Federated LQR: Learning through Sharing. - Zhaolin Ren; Aoxiao Zhong; Zhengyuan Zhou; Na Li 002 (CoRR, 2020)

LQR with Tracking: A Zeroth-order Approach and Its Global Convergence. - Zhaolin Ren; Aoxiao Zhong; Na Li 002 (ACC, 2021)

Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence. - Runyu Zhang 001; Zhaolin Ren; Na Li 002 (CoRR, 2021)

Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding. - Tongzheng Ren; Zhaolin Ren; Na Li 002; Bo Dai 001 (CDC, 2023)

FedDAR: Federated Domain-Aware Representation Learning. - Aoxiao Zhong; Hao He; Zhaolin Ren; Na Li 002; Quanzheng Li (ICLR, 2023)

Escaping saddle points in zeroth-order optimization: the power of two-point estimators. - Zhaolin Ren; Yujie Tang 002; Na Li 002 (ICML, 2023)

On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. - Zhaolin Ren; Yang Zheng 001; Maryam Fazel; Na Li 002 (L4DC, 2023)

Zeroth-order feedback optimization for cooperative multi-agent systems. - Yujie Tang 002; Zhaolin Ren; Na Li 002 (Autom., 2023)

Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint. - Haitong Ma; Zhaolin Ren; Bo Dai 001; Na Li 002 (IROS, 2024)

Enhancing Preference-based Linear Bandits via Human Response Time. - Shen Li 003; Yuyang Zhang; Zhaolin Ren; Claire Liang; Na Li 002; Julie A. Shah (NeurIPS, 2024)

Minimizing the Thompson Sampling Regret-to-Sigma Ratio (TS-RSR): a provably efficient algorithm for batch Bayesian Optimization. - Zhaolin Ren; Na Li 002 (CoRR, 2024)

Scalable spectral representations for network multiagent control. - Zhaolin Ren; Runyu Zhang 001; Bo Dai 001; Na Li 002 (CoRR, 2024)

Distributed Thompson Sampling Under Constrained Communication. - Saba Zerefa; Zhaolin Ren; Haitong Ma; Na Li 002 (IEEE Control. Syst. Lett., 2024)

Gradient Play in Stochastic Games: Stationary Points, Convergence, and Sample Complexity. - Runyu Zhang 001; Zhaolin Ren; Na Li 002 (IEEE Trans. Autom. Control., 2024)

Scalable spectral representations for multiagent reinforcement learning in network MDPs. - Zhaolin Ren; Runyu Zhang 001; Bo Dai 001; Na Li 002 (AISTATS, 2025)

Offline Imitation Learning upon Arbitrary Demonstrations by Pre-Training Dynamics Representations. - Haitong Ma; Bo Dai 001; Zhaolin Ren; Yebin Wang; Na Li 002 (CoRR, 2025)