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2020 – today
- 2024
[j2]Runyu Zhang
, Zhaolin Ren, Na Li:
Gradient Play in Stochastic Games: Stationary Points, Convergence, and Sample Complexity. IEEE Trans. Autom. Control. 69(10): 6499-6514 (2024)- [c8]Haitong Ma, Zhaolin Ren, Bo Dai, Na Li:
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint. IROS 2024: 8603-8609 - [i11]Zhaolin Ren, Na Li:
Minimizing the Thompson Sampling Regret-to-Sigma Ratio (TS-RSR): a provably efficient algorithm for batch Bayesian Optimization. CoRR abs/2403.04764 (2024) - [i10]Haitong Ma, Zhaolin Ren, Bo Dai, Na Li:
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint. CoRR abs/2404.05051 (2024) - [i9]Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, Julie A. Shah:
Enhancing Preference-based Linear Bandits via Human Response Time. CoRR abs/2409.05798 (2024) - [i8]Saba Zerefa, Zhaolin Ren, Haitong Ma, Na Li:
Distributed Thompson sampling under constrained communication. CoRR abs/2410.15543 (2024) - [i7]Zhaolin Ren, Runyu Zhang, Bo Dai, Na Li:
Scalable spectral representations for network multiagent control. CoRR abs/2410.17221 (2024) - 2023
- [j1]Yujie Tang, Zhaolin Ren, Na Li:
Zeroth-order feedback optimization for cooperative multi-agent systems. Autom. 148: 110741 (2023) - [c7]Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai:
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding. CDC 2023: 795-800 - [c6]Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li:
FedDAR: Federated Domain-Aware Representation Learning. ICLR 2023 - [c5]Zhaolin Ren, Yujie Tang, Na Li:
Escaping saddle points in zeroth-order optimization: the power of two-point estimators. ICML 2023: 28914-28975 - [c4]Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li:
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. L4DC 2023: 1008-1019 - [i6]Tongzheng Ren, Zhaolin Ren, Na Li, Bo Dai:
Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding. CoRR abs/2304.03907 (2023) - 2022
- [i5]Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, Quanzheng Li:
FedDAR: Federated Domain-Aware Representation Learning. CoRR abs/2209.04007 (2022) - [i4]Zhaolin Ren, Yang Zheng, Maryam Fazel, Na Li:
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds. CoRR abs/2211.16291 (2022) - 2021
- [c3]Zhaolin Ren, Aoxiao Zhong, Na Li:
LQR with Tracking: A Zeroth-order Approach and Its Global Convergence. ACC 2021: 2562-2568 - [i3]Runyu Zhang, Zhaolin Ren, Na Li:
Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence. CoRR abs/2106.00198 (2021) - 2020
- [c2]Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu, Ajay Deshpande, Jayant Kalagnanam:
Delay-Adaptive Distributed Stochastic Optimization. AAAI 2020: 5503-5510 - [c1]Yujie Tang, Zhaolin Ren, Na Li:
Zeroth-order Feedback Optimization for Cooperative Multi-Agent Systems. CDC 2020: 3649-3656 - [i2]Zhaolin Ren, Aoxiao Zhong, Zhengyuan Zhou, Na Li:
Federated LQR: Learning through Sharing. CoRR abs/2011.01815 (2020) - [i1]Yujie Tang, Zhaolin Ren, Na Li:
Zeroth-Order Feedback Optimization for Cooperative Multi-Agent Systems. CoRR abs/2011.09728 (2020)
Coauthor Index
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