| GOPS: A general optimal control problem solver for autonomous driving and industrial control applications W Wang, Y Zhang, J Gao, Y Jiang, Y Yang, Z Zheng, W Zou, J Li, C Zhang, ... Communications in Transportation Research 3, 100096, 2023 | 44 | 2023 |
| Model-free safe reinforcement learning through neural barrier certificate Y Yang, Y Jiang, Y Liu, J Chen, SE Li IEEE Robotics and Automation Letters 8 (3), 1295-1302, 2023 | 44 | 2023 |
| Safe offline reinforcement learning with feasibility-guided diffusion model Y Zheng, J Li, D Yu, Y Yang, SE Li, X Zhan, J Liu arXiv preprint arXiv:2401.10700, 2024 | 31 | 2024 |
| Safe model-based reinforcement learning with an uncertainty-aware reachability certificate D Yu, W Zou, Y Yang, H Ma, SE Li, Y Yin, J Chen, J Duan IEEE Transactions on Automation Science and Engineering 21 (3), 4129-4142, 2023 | 11 | 2023 |
| Safe reinforcement learning with dual robustness Z Li, C Hu, Y Wang, Y Yang, SE Li IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 7 | 2024 |
| Feasible policy iteration Y Yang, Z Zheng, SE Li, J Duan, J Liu, X Zhan, YQ Zhang arXiv preprint arXiv:2304.08845, 2023 | 6 | 2023 |
| Synthesizing control barrier functions with feasible region iteration for safe reinforcement learning Y Yang, Y Zhang, W Zou, J Chen, Y Yin, SE Li IEEE Transactions on Automatic Control 69 (4), 2713-2720, 2023 | 5 | 2023 |
| Belief state separated reinforcement learning for autonomous vehicle decision making under uncertainty Z Gu, Y Yang, J Duan, SE Li, J Chen, W Cao, S Zheng 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 5 | 2021 |
| Feasible reachable policy iteration S Qin, Y Yang, Y Mu, J Li, W Zou, J Duan, SE Li Forty-first International Conference on Machine Learning, 2024 | 3 | 2024 |
| Belief State Actor-Critic Algorithm from Separation Principle for POMDP Y Yang, Y Jiang, J Chen, SE Li, Z Gu, Y Yin, Q Zhang, K Yu 2023 American Control Conference (ACC), 2560-2567, 2023 | 3 | 2023 |
| Feasibility-guided safe offline reinforcement learning Y Zheng, J Li, D Yu, Y Yang, SE Li, X Zhan, J Liu The Twelfth International Conference on Learning Representations, 2023 | 3 | 2023 |
| Steadily learn to drive with virtual memory Y Zhang, Y Mu, Y Yang, Y Guan, SE Li, Q Sun, J Chen arXiv preprint arXiv:2102.08072, 2021 | 3 | 2021 |
| THE CONDITIONS AND INFLUENCING FACTORS OF TRUCKS'ROLL-OVER DURING TURNING Y Yujie, QIU Xinming Mechanics in Engineering 41 (4), 393-397, 2019 | 3 | 2019 |
| Scalable synthesis of formally verified neural value function for hamilton-jacobi reachability analysis Y Yang, H Hu, T Wei, SE Li, C Liu arXiv preprint arXiv:2407.20532, 2024 | 2 | 2024 |
| The feasibility of constrained reinforcement learning algorithms: A tutorial study Y Yang, Z Zheng, SE Li, M Tomizuka, C Liu arXiv preprint arXiv:2404.10064, 2024 | 2 | 2024 |
| On the stability of datatic control systems Y Yang, Z Zheng, SE Li arXiv preprint arXiv:2401.16793, 2024 | 2 | 2024 |
| Effects of Zn content on microstructure and magnetic properties of MnZn ferrite Y Zhang, Y Yang, D Chen, C Chen, Y Meng Journal of Ceramic Processing Research 24 (2), 342-347, 2023 | 2 | 2023 |
| Policy bifurcation in safe reinforcement learning W Zou, Y Lyu, J Li, Y Yang, SE Li, J Duan, X Zhan, J Liu, Y Zhang, K Li arXiv preprint arXiv:2403.12847, 2024 | 1 | 2024 |
| Learning POMDP models with similarity space regularization: a linear gaussian case study Y Yang, J Chen, S Li Learning for Dynamics and Control Conference, 330-341, 2022 | 1 | 2022 |
| Controllability test for nonlinear datatic systems Y Yang, L Tao, L Wang, SE Li Communications in Transportation Research 4, 100143, 2024 | | 2024 |
Shengbo Eben Li（李升波）Professor at Tsinghua UniversityPotvrđena adresa e-pošte na tsinghua.edu.cn