Zhaolin Ren

28 papers A* 4A 3C 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2025 A conf
Offline Imitation Learning upon Arbitrary Demonstrations by Pre-Training Dynamics Representations.
IROS
Haitong Ma, Bo Dai, Zhaolin Ren, Yebin Wang, Na Li
2025 J jnl
Offline Imitation Learning upon Arbitrary Demonstrations by Pre-Training Dynamics Representations.
CoRR
Haitong Ma, Bo Dai, Zhaolin Ren, Yebin Wang, Na Li
2025 A conf
Scalable spectral representations for multiagent reinforcement learning in network MDPs.
AISTATS
Zhaolin Ren, Runyu Zhang, Bo Dai, Na Li
2025 J jnl
Stochastic Nonlinear Control via Finite-Dimensional Spectral Dynamics Embedding.
IEEE Trans. Autom. Control.
Zhaolin Ren, Tongzheng Ren, Haitong Ma, Na Li, Bo Dai
2025 J jnl
TS-RSR: A Provably Efficient Approach for Batch Bayesian Optimization.
SIAM J. Optim.
Zhaolin Ren, Na Li
2024 J jnl
Distributed Thompson Sampling Under Constrained Communication.
IEEE Control. Syst. Lett.
Saba Zerefa, Zhaolin Ren, Haitong Ma, Na Li
2024 J jnl
Distributed Thompson sampling under constrained communication.
CoRR
Saba Zerefa, Zhaolin Ren, Haitong Ma, Na Li
2024 A* conf
Enhancing Preference-based Linear Bandits via Human Response Time.
NeurIPS
Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie A. Shah
2024 J jnl
Enhancing Preference-based Linear Bandits via Human Response Time.
CoRR
Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie A. Shah
2024 J jnl
Gradient Play in Stochastic Games: Stationary Points, Convergence, and Sample Complexity.
IEEE Trans. Autom. Control.
Runyu Zhang, Zhaolin Ren, Na Li
2024 J jnl
Minimizing the Thompson Sampling Regret-to-Sigma Ratio (TS-RSR): a provably efficient algorithm for batch Bayesian Optimization.
CoRR
Zhaolin Ren, Na Li
2024 J jnl
Scalable spectral representations for network multiagent control.
CoRR
Zhaolin Ren, Runyu Zhang, Bo Dai, Na Li
2024 A conf
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint.
IROS
Haitong Ma, Zhaolin Ren, Bo Dai, Na Li
2024 J jnl
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint.
CoRR
Haitong Ma, Zhaolin Ren, Bo Dai, Na Li
2023 A* conf
Escaping saddle points in zeroth-order optimization: the power of two-point estimators.
ICML
Zhaolin Ren, Yujie Tang, Na Li
2023 A* conf
FedDAR: Federated Domain-Aware Representation Learning.
ICLR
Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li
2023 — conf
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds.
L4DC
Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li
2023 — conf
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding.
CDC
Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai
2023 J jnl
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding.
CoRR
Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai
2023 J jnl
Zeroth-order feedback optimization for cooperative multi-agent systems.
Autom.
Yujie Tang, Zhaolin Ren, Na Li
2022 J jnl
FedDAR: Federated Domain-Aware Representation Learning.
CoRR
Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li
2022 J jnl
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds.
CoRR
Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li
2021 J jnl
Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence.
CoRR
Runyu Zhang, Zhaolin Ren, Na Li
2021 C conf
LQR with Tracking: A Zeroth-order Approach and Its Global Convergence.
ACC
Zhaolin Ren, Aoxiao Zhong, Na Li
2020 A* conf
Delay-Adaptive Distributed Stochastic Optimization.
AAAI
Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu, Ajay Deshpande, Jayant Kalagnanam
2020 J jnl
Federated LQR: Learning through Sharing.
CoRR
Zhaolin Ren, Aoxiao Zhong, Zhengyuan Zhou, Na Li
2020 J jnl
Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems.
CoRR
Yujie Tang, Zhaolin Ren, Na Li
2020 — conf
Zeroth-order Feedback Optimization for Cooperative Multi-Agent Systems.
CDC
Yujie Tang, Zhaolin Ren, Na Li