| 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 | 73 | 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 | 73 | 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 | 71 | 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 | 27 | 2023 |
| Verification of neural control barrier functions with symbolic derivative bounds propagation H Hu, Y Yang, T Wei, C Liu arXiv preprint arXiv:2410.16281, 2024 | 26 | 2024 |
| 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 | 19 | 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 | 17 | 2024 |
| Scalable synthesis of formally verified neural value function for hamilton-jacobi reachability analysis Y Yang, H Hu, T Wei, SE Li, C Liu Journal of Artificial Intelligence Research 83, 2025 | 15 | 2025 |
| Feasible policy iteration Y Yang, Z Zheng, SE Li, J Duan, J Liu, X Zhan, YQ Zhang arXiv preprint arXiv:2304.08845, 2023 | 12 | 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 | 6 | 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 | 4 | 2024 |
| On the stability of datatic control systems Y Yang, Z Zheng, SE Li arXiv preprint arXiv:2401.16793, 2024 | 4 | 2024 |
| 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 | 4 | 2021 |
| THE CONDITIONS AND INFLUENCING FACTORS OF TRUCKS'ROLL-OVER DURING TURNING Y Yujie, QIU Xinming Mechanics in Engineering 41 (4), 393-397, 2019 | 4 | 2019 |
| Controllability test for nonlinear datatic systems Y Yang, L Tao, L Wang, SE Li Communications in Transportation Research 4, 100143, 2024 | 3 | 2024 |
| Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning Y Jiang, Y Yang, Z Lan, G Zhan, SE Li, Q Sun, J Ma, T Yu, C Zhang 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2024 | 3 | 2024 |
| 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 |
| Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction W Zhao, F Li, Y Sun, Y Wang, R Chen, T Wei, C Liu arXiv preprint arXiv:2410.01212, 2024 | 2 | 2024 |
| CIDC: A Flexible Formation Control Framework for Intelligent Connected Vehicles J Gao, S Li, Y Lyu, Y Jiang, G Zhan, Y Yang, Y Yin, M Wang, SE Li IEEE Transactions on Intelligent Vehicles, 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 |
Shengbo Eben Li（李升波）Professor at Tsinghua UniversityVerified email at tsinghua.edu.cn
