Publication

Preprints

• An AI cyborg system for enhancing organoid maturation
  Ren Liu*, Zhaolin Ren*, Xinhe Zhang*, Qiang Li, Wenbo Wang, Zuwan Lin, Richard T. Lee, Jie Ding, Na Li, Jia Liu
  In preparation for submission at Nature, 2024

• Distributed Thompson Sampling under constrained communication
  Saba Zerefa, Zhaolin Ren, Haitong Ma, and Na Li
  Under joint review at IEEE Control Systems Letters and American Control Conference (ACC), 2024

• Minimizing the Thompson Sampling Regret-to-Sigma Ratio (TS-RSR): a provably efficient algorithm for batch Bayesian Optimization
  Zhaolin Ren and Na Li
  Under review at SIAM Journal for Optimization, 2024

• Scalable network representation for network multiagent control
  Zhaolin Ren*, Runyu Zhang*, Dai Bo, and Na Li
  Under review, 2024

Journal Papers

• Gradient play in stochastic games: stationary points, convergence, and sample complexity
  Runyu Zhang, Zhaolin Ren, and Na Li
  Transactions on Automatic Control (TAC), 2024

• Zeroth-order feedback optimization for cooperative multi-agent systems
  Yujie Tang, Zhaolin Ren, and Na Li
  Automatica, 2023

• Stochastic nonlinear control via finite-dimensional spectral dynamic embedding
  Tongzheng Ren*, Zhaolin Ren*, Haitong Ma, Na Li, and Bo Dai
  Journal version under submission at Transactions on Automatic Control, 2024 (*: equal contribution)

Conference Papers

• Skill transfer and discovery for sim-to-real learning: A representation-based viewpoint
  Haitong Ma, Zhaolin Ren, Bo Dai, and Na Li
  International Conference on Intelligent Robots and Systems (IROS), 2024

• Enhancing Preference-based Linear Bandits via Human Response Time
  Shen Li, Yuyang Zhang, Zhaolin Ren, Claire Liang, Na Li, and Julie A Shah
  Accepted at NeurIPS, 2024

• Escaping saddle points in zeroth-order optimization: the power of two-point estimators
  Zhaolin Ren, Yujie Tang, and Na Li
  International Conference on Machine Learning (ICML), 2023

• On controller reduction in Linear Quadratic Gaussian control with performance bounds
  Zhaolin Ren, Yang Zheng, Maryam Fazel, and Na Li
  Learning for Dynamics and Control Conference (L4DC), 2023

• FedDAR: Federated Domain-Aware Representation Learning
  Aoxiao Zhong, Hao He, Zhaolin Ren, Na Li, and Quanzheng Li
  International Conference on Learning Representations (ICLR), 2023

• LQR with Tracking: A Zeroth-order Approach and Its Global Convergence
  Zhaolin Ren, Aoxiao Zhong, and Na Li
  American Control Conference (ACC), 2021

• Delay-Adaptive Distributed Stochastic Optimization
  Zhaolin Ren, Zhengyuan Zhou, Linhai Qiu, Ajay Deshpande, and Jayant Kalagnanam
  Proceedings of the AAAI Conference on Artificial Intelligence, 2020