Harmonized Dual Policy Improvement for Model-based Reinforcement Learning
Published in 🧠International Conference in Machine Learning (ICML), 2026
Guojian Zhan, Likun Wang, Feihong Zhang, Yang Guan, Shengbo Eben Li
Publications
You can also find my articles on my Google Scholar profile.
Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation
Published in 🧠International Conference on Learning Representations (ICLR), 2026
Guojian Zhan, Letian Tao, Pengcheng Wang, Yixiao Wang, Yuxin Chen, Yiheng Li, Hongyang Li, Masayoshi Tomizuka, Shengbo Eben Li
Langevin Rollout Optimization for Modelic Reinforcement Learning
Published in 🧠International Conference in Machine Learning (ICML), 2026
Tianyi Zhang†, Likun Wang†, Guojian Zhan†, Feihong Zhang, Yang Guan, Yao Lyu, Shengbo Eben Li
Wasserstein Generative Reinforcement Learning
Published in 🧠International Conference in Machine Learning (ICML), 2026
Likun Wang†, Guojian Zhan†, Shiqi Liu, Zeyu He, Yinuo Wang, Yatao Bian
Taming the Aleatoric Impulse in Off-Policy Reinforcement Learning
Published in 🧠International Conference in Machine Learning (ICML), 2026
Zhouyang Yu†, Guojian Zhan†, Yang Guan, Jingliang Duan, Letian Tao, Shengbo Eben Li
Off-policy Reinforcement Learning with Model-based Exploration Augmentation
Published in 🧠Neural Information Processing Systems (NeurIPS), 2025
Likun Wang, Xiangteng Zhang, Yinuo Wang, Guojian Zhan, Wenxuan Wang, Haoyu Gao, Jingliang Duan, Shengbo Eben Li
Bootstrap Off-policy with World Model
Published in 🧠Neural Information Processing Systems (NeurIPS), 2025
Guojian Zhan, Likun Wang, Xiangteng Zhang, Jiaxin Gao, Masayoshi Tomizuka, Shengbo Eben Li
Continuous-Time Policy Gradient
Published in ⚙️🧠IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (Under Review), 2025
Guojian Zhan, Jingliang Duan, Yuxuan Jiang, Feihong Zhang, Ziang Zheng, Shengbo Eben Li
Bicriteria Policy Optimization for High Accuracy Reinforcement Learning
Published in ⚙️🧠IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2025
Guojian Zhan, Xiangteng Zhang, Feihong Zhang, Letian Tao, Shengbo Eben Li
Enhanced DACER Algorithm with High Diffusion Efficiency
Published in 🤖🧠arXiv preprint:2505.23426, 2025
Yinuo Wang, Mining Tan, Wenjun Zou, Haotian Lin, Xujie Song, Wenxuan Wang, Tong Liu, Likun Wang, Guojian Zhan, Tianze Zhu, Shiqi Liu, Jingliang Duan, Shengbo Eben Li
Physics Informed Neural Pose Estimation for Real-Time Shape Reconstruction of Soft Continuum Robots
Published in 🤖⚙️ IEEE Robotics and Automation Letters (RAL), 2025
Guojian Zhan†, Xin An†, Yuxuan Jiang†, Jingliang Duan, Huichan Zhao, Shengbo Eben Li
Distributional Soft Actor-Critic with Harmonic Gradient for Safe and Efficient Autonomous Driving in Multi-lane Scenarios
Published in 🚗🧠IEEE Intelligent Vehicle (IV), 2025
Feihong Zhang†, Guojian Zhan†, Bin Shuai, Tianyi Zhang, Jingliang Duan, Shengbo Eben Li
Understanding Connection between PMP and HJB Equations from the Perspective of Hamilton Dynamics
Published in ⚙️ IEEE Transactions on Artificial Intelligence (TAI), 2025
Xiangteng Zhang, Yao Lyu, Shengbo Eben Li, Jingliang Duan, Guojian Zhan, Chang Liu, Bo Cheng, Keqiang Li
Transferable Latent-to-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots
Published in 🤖🧠IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
Ziang Zheng†, Guojian Zhan†, Bin Shuai, Shengtao Qin, Jiangtao Li, Tao Zhang, Shengbo Eben Li
PODAR: A Collision Risk Model Offering Valid Signals for Vehicular Interactions
Published in đźš— IEEE Intelligent Transportation Systems Magazine (ITSM), 2025
Chen Chen, Zhipeng Liu, Weiqiang Liang, Mingming Wang, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li
Predictive Lagrangian Optimization for Constrained Reinforcement Learning
Published in ⚙️🧠IEEE Conference of Decision and Control (CDC), 2025
Tianqi Zhang†, Puzhen Yuan†, Guojian Zhan†, Ziyu Lin, Yao Lyu, Zhenzhi Qin, Jingliang Duan, Liping Zhang, Shengbo Eben Li
Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems
Published in 🧠IEEE Transactions on Evolutionary Computation (TEVC), 2025
Yuheng Lei, Yao Lyu, Guojian Zhan, Tao Zhang, Jiangtao Li, Jianyu Chen, Shengbo Eben Li, Sifa Zheng
An Explicit Discrete-Time Dynamic Vehicle Model with Assured Numerical Stability
Published in 🚗⚙️ Vehicle System Dynamics (VSD), 2024
Guojian Zhan, Qiang Ge, Haoyu Gao, Yuming Yin, Bin Zhao, Shengbo Eben Li
Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning
Published in 🤖🧠IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
Yuxuan Jiang, Yujie Yang, Zhiqian Lan, Guojian Zhan, Shengbo Eben Li, Qi Sun, Jian Ma, Tianwen Yu, Changwu Zhang
CIDC: A Flexible Formation Control Framework for Intelligent Connected Vehicles
Published in 🚗🧠IEEE Transactions on Intelligent Vehicles (TIV), 2024
Jiaxin Gao, Shaosong Li, Yao Lyu, Yuxuan Jiang, Guojian Zhan, Yujie Yang, Yuming Yin, Mingming Wang, Shengbo Eben Li
Quantifying the Individual Differences of Drivers’ Risk Perception via Potential Damage Risk Model
Published in đźš— IEEE Transactions on Intelligent Transportation Systems (TITS), 2024
Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li
Canonical Form of Datatic Description in Control Systems
Published in ⚙️🧠American Control Conference (ACC), 2024
Guojian Zhan, Ziang Zheng, Shengbo Eben Li
A Transformation-Aggregation Framework for State Representation of Autonomous Driving Systems
Published in 🚗🧠IEEE Transactions on Intelligent Transportation Systems (TITS), 2024
Guojian Zhan†, Yuxuan Jiang†, Shengbo Eben Li, Yao Lyu, Xiangteng Zhang, Yuming Yin
Continuous-Time Policy Optimization
Published in ⚙️🧠American Control Conference (ACC), 2024
Guojian Zhan, Yuxuan Jiang, Jingliang Duan, Shengbo Eben Li, Bo Cheng, Keqiang Li
Data-Driven Safe Learning and Control with Safety Certificates
Published in ⚙️🧠Elsevier, 2024
Haitong Ma, Yujie Yang, Wenjun Zou, Guojian Zhan, Zhilong Zheng, Jingliang Duan, Bin Shuai, Chen Chen, Shengbo E Li
A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios
Published in 🚗🧠IEEE Transactions on Intelligent Transportation Systems (TITS), 2023
Yuxuan Jiang†, Guojian Zhan†, Zhiqian Lan, Chang Liu, Bo Cheng, Shengbo Eben Li
Enhance Generality by Model-based Reinforcement Learning and Domain Randomization
Published in 🚗🧠CAA International Conference on Vehicular Control and Intelligence (CVCI) (Best Paper), 2023
Guojian Zhan, Yao Lyu, Shengbo Eben Li, Yuxuan Jiang, Xiangteng Zhang, Letian Tao
Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration
Published in ⚙️🧠arXiv preprint:2310.07211, 2023
Zeyang Li, Chuxiong Hu, Yunan Wang, Guojian Zhan, Jie Li, Shengbo Eben Li
Improve Generalization of Driving Policy at Signalized Intersections with Adversarial Learning
Published in 🚗🧠Transportation Research Part C: Emerging Technologies (Part C), 2023
Yangang Ren†, Guojian Zhan†, Liye Tang, Shengbo Eben Li, Jianhua Jiang, Keqiang Li, Jingliang Duan
Languagempc: Large Language Models as Decision Makers for Autonomous Driving
Published in đźš—đź’¬ arXiv preprint:2310.03026, 2023
Hao Sha, Yao Mu, Yiang Jiang, Guojian Zhan, Li Chen, Chenfeng Xu, Ping Luo, Shengbo Eben Li, Masayoshi Tomizuka, Wei Zhan, Mingyu Ding
Self-learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections
Published in 🚗🧠IEEE Transactions on Intelligent Transportation Systems (TITS), 2022
Yangang Ren†, Guojian Zhan†, Liye Tang, Shengbo Eben Li, Jianhua Jiang, Keqiang Li, Jingliang Duan