Li, Shengbo Eben

16 publications

NeurIPS 2025 Bootstrap Off-Policy with World Model Guojian Zhan, Likun Wang, Xiangteng Zhang, Jiaxin Gao, Masayoshi Tomizuka, Shengbo Eben Li

ICLR 2025 Diffusion-Based Planning for Autonomous Driving with Flexible Guidance Yinan Zheng, Ruiming Liang, Kexin Zheng, Jinliang Zheng, Liyuan Mao, Jianxiong Li, Weihao Gu, Rui Ai, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu

ICLRW 2025 Diffusion-Based Planning for Autonomous Driving with Flexible Guidance Yinan Zheng, Ruiming Liang, Kexin Zheng, Jinliang Zheng, Liyuan Mao, Jianxiong Li, Weihao Gu, Rui Ai, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu

ICML 2025 LipsNet++: Unifying Filter and Controller into a Policy Network Xujie Song, Liangfa Chen, Tong Liu, Wenxuan Wang, Yinuo Wang, Shentao Qin, Yinsong Ma, Jingliang Duan, Shengbo Eben Li

ICLR 2025 ODE-Based Smoothing Neural Network for Reinforcement Learning Tasks Yinuo Wang, Wenxuan Wang, Xujie Song, Tong Liu, Yuming Yin, Liangfa Chen, Likun Wang, Jingliang Duan, Shengbo Eben Li

NeurIPS 2025 Off-Policy Reinforcement Learning with Model-Based Exploration Augmentation Likun Wang, Xiangteng Zhang, Yinuo Wang, Guojian Zhan, Wenxuan Wang, Haoyu Gao, Jingliang Duan, Shengbo Eben Li

NeurIPS 2025 One Filters All: A Generalist Filter for State Estimation Shiqi Liu, Wenhan Cao, Chang Liu, Zeyu He, Tianyi Zhang, Yinuo Wang, Shengbo Eben Li

JAIR 2025 Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis Yujie Yang, Hanjiang Hu, Tianhao Wei, Shengbo Eben Li, Changliu Liu

NeurIPS 2024 Diffusion Actor-Critic with Entropy Regulator Yinuo Wang, Likun Wang, Yuxuan Jiang, Wenjun Zou, Tong Liu, Xujie Song, Wenxuan Wang, Liming Xiao, Jiang Wu, Jingliang Duan, Shengbo Eben Li

ICML 2024 Feasible Reachable Policy Iteration Shentao Qin, Yujie Yang, Yao Mu, Jie Li, Wenjun Zou, Jingliang Duan, Shengbo Eben Li

ICLR 2024 SEPT: Towards Efficient Scene Representation Learning for Motion Prediction Zhiqian Lan, Yuxuan Jiang, Yao Mu, Chen Chen, Shengbo Eben Li

ICLR 2024 Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Eben Li, Xianyuan Zhan, Jingjing Liu

ICML 2023 LipsNet: A Smooth and Robust Neural Network with Adaptive Lipschitz Constant for High Accuracy Optimal Control Xujie Song, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Chen Chen, Bo Cheng, Bo Zhang, Junqing Wei, Xiaoming Simon Wang

ICLRW 2023 Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout Yao Mu, Zhiqian Lan, Chang Liu, Ping Luo, Shengbo Eben Li

L4DC 2022 Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen

NeurIPSW 2022 SEM2: Enhance Sample Efficiency and Robustness of End-to-End Urban Autonomous Driving via Semantic Masked World Model Zeyu Gao, Yao Mu, Ruoyan Shen, Chen Chen, Yangang Ren, Jianyu Chen, Shengbo Eben Li, Ping Luo, Yanfeng Lu