| Global convergence of policy gradient primal–dual methods for risk-constrained LQRs F Zhao, K You, T Başar IEEE Transactions on Automatic Control 68 (5), 2934-2949, 2023 | 43 | 2023 |
| Suspension regulation of medium-low-speed maglev trains via deep reinforcement learning F Zhao, K You, S Song, W Zhang, L Tong IEEE Transactions on Artificial Intelligence 2 (4), 341-351, 2021 | 24 | 2021 |
| Infinite-horizon risk-constrained linear quadratic regulator with average cost F Zhao, K You, T Başar 2021 60th IEEE Conference on Decision and Control (CDC), 390-395, 2021 | 22 | 2021 |
| Convergence and sample complexity of policy gradient methods for stabilizing linear systems F Zhao, X Fu, K You IEEE Transactions on Automatic Control, 2024 | 21* | 2024 |
| Data-enabled policy optimization for direct adaptive learning of the LQR F Zhao, F Dörfler, A Chiuso, K You arXiv preprint arXiv:2401.14871, 2024 | 21 | 2024 |
| Primal-dual learning for the model-free risk-constrained linear quadratic regulator F Zhao, K You Learning for Dynamics and Control, 702-714, 2021 | 20 | 2021 |
| Data-enabled policy optimization for the linear quadratic regulator F Zhao, F Dörfler, K You 2023 62nd IEEE Conference on Decision and Control (CDC), 6160-6165, 2023 | 13 | 2023 |
| Velocity regulation for automatic train operation via meta-reinforcement learning F Zhao, K You, Y Fan, G Yan 2020 39th Chinese Control Conference (CCC), 1969-1974, 2020 | 9 | 2020 |
| Globally convergent policy gradient methods for linear quadratic control of partially observed systems F Zhao, X Fu, K You IFAC-PapersOnLine 56 (2), 5506-5511, 2023 | 7* | 2023 |
| Data-driven control of unknown linear systems via quantized feedback F Zhao, X Li, K You Learning for Dynamics and Control Conference, 467-479, 2022 | 6 | 2022 |
| Minimax Q-learning control for linear systems using the Wasserstein metric F Zhao, K You Automatica 149, 110850, 2023 | 5 | 2023 |
| Setpoint tracking for the suspension system of medium-speed maglev trains via reinforcement learning F Zhao, P Jiang, K You, S Song, W Zhang, L Tong 2019 IEEE 15th International Conference on Control and Automation (ICCA …, 2019 | 5 | 2019 |
| Asynchronous parallel policy gradient methods for the linear quadratic regulator F Zhao, X Sha, K You IEEE Transactions on Automatic Control, 2025 | 1 | 2025 |
| Direct Adaptive Control of Grid-Connected Power Converters via Output-Feedback Data-Enabled Policy Optimization F Zhao, R Leng, L Huang, H Xin, K You, F Dörfler arXiv preprint arXiv:2411.03909, 2024 | 1 | 2024 |
| Linear Convergence of Data-Enabled Policy Optimization for Linear Quadratic Tracking S Kang, F Zhao, K You arXiv preprint arXiv:2410.05596, 2024 | 1 | 2024 |
| Data-driven control of linear systems via quantized feedback X Li, F Zhao, K You Journal of Systems Science and Complexity 37 (1), 152-168, 2024 | 1 | 2024 |
| An Adaptive Data-Enabled Policy Optimization Approach for Autonomous Bicycle Control N Persson, F Zhao, M Kaheni, F Dörfler, AV Papadopoulos arXiv preprint arXiv:2502.13676, 2025 | | 2025 |
| Policy Gradient Methods for the Cost-Constrained LQR: Strong Duality and Global Convergence F Zhao, K You arXiv preprint arXiv:2406.03734, 2024 | | 2024 |
| Harnessing Data for Accelerating Model Predictive Control by Constraint Removal Z Hou, F Zhao, K You arXiv preprint arXiv:2403.19126, 2024 | | 2024 |
Keyou You 游科友Professor, Department of Automation, Tsinghua University, Beijing, PR ChinaPotvrđena adresa e-pošte na tsinghua.edu.cn