Gradient play in stochastic games: Stationary points and local geometry RC Zhang, Z Ren, N Li IFAC-PapersOnLine 55 (30), 73-78, 2022 | 41 | 2022 |
Zeroth-order feedback optimization for cooperative multi-agent systems Y Tang, Z Ren, N Li Automatica 148, 110741, 2023 | 26 | 2023 |
Gradient play in multi-agent Markov stochastic games: Stationary points and convergence R Zhang, Z Ren, N Li arXiv preprint arXiv:2106.00198, 2021 | 24 | 2021 |
Delay-adaptive distributed stochastic optimization Z Ren, Z Zhou, L Qiu, A Deshpande, J Kalagnanam Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5503-5510, 2020 | 9 | 2020 |
Stochastic nonlinear control via finite-dimensional spectral dynamic embedding T Ren, Z Ren, N Li, B Dai 2023 62nd IEEE Conference on Decision and Control (CDC), 795-800, 2023 | 5 | 2023 |
Feddar: Federated domain-aware representation learning A Zhong, H He, Z Ren, N Li, Q Li arXiv preprint arXiv:2209.04007, 2022 | 5 | 2022 |
LQR with tracking: A zeroth-order approach and its global convergence Z Ren, A Zhong, N Li 2021 American Control Conference (ACC), 2562-2568, 2021 | 5 | 2021 |
Escaping saddle points in zeroth-order optimization: the power of two-point estimators Z Ren, Y Tang, N Li The Fortieth International Conference on Machine Learning (ICML 2023), 2023 | 2* | 2023 |
On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds Z Ren, Y Zheng, M Fazel, N Li Learning for Dynamics and Control Conference, 1008-1019, 2023 | 1 | 2023 |
Gradient play in stochastic games: stationary points, convergence, and sample complexity R Zhang, Z Ren, N Li IEEE Transactions on Automatic Control, 2024 | | 2024 |
Skill transfer and discovery for sim-to-real learning: A representation-based viewpoint H Ma, Z Ren, B Dai, N Li arXiv preprint arXiv:2404.05051, 2024 | | 2024 |
Minimizing the Thompson Sampling Regret-to-Sigma Ratio (TS-RSR): a provably efficient algorithm for batch Bayesian Optimization Z Ren, N Li arXiv preprint arXiv:2403.04764, 2024 | | 2024 |