Guojian Zhan

According to our database, Guojian Zhan authored at least 33 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Learn a Robust Policy for Real-World Driving With Adversarial Reinforcement Learning.

Yangang Ren, Guojian Zhan, Shengbo Eben Li, Jingliang Duan, Yao Lyu, Yang Guan, Keqiang Li

IEEE Trans. Intell. Veh., April, 2026

STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens.

Shiqi Liu, Zeyu He, Guojian Zhan, Letian Tao, Zhilong Zheng, Jiang Wu, Yinuo Wang, Yang Guan, Kehua Sheng, Bo Zhang, Keqiang Li, Jingliang Duan, Shengbo Eben Li

CoRR, February, 2026

Mean Flow Policy with Instantaneous Velocity Constraint for One-step Action Generation.

Guojian Zhan, Letian Tao, Pengcheng Wang, Yixiao Wang, Yiheng Li, Yuxin Chen, Masayoshi Tomizuka, Shengbo Eben Li

CoRR, February, 2026

DADP: Domain Adaptive Diffusion Policy.

Pengcheng Wang, Qinghang Liu, Haotian Lin, Yiheng Li, Guojian Zhan, Masayoshi Tomizuka, Yixiao Wang

CoRR, February, 2026

Bicriteria Policy Optimization for High-Accuracy Reinforcement Learning.

Guojian Zhan, Xiangteng Zhang, Feihong Zhang, Letian Tao, Shengbo Eben Li

IEEE Trans. Neural Networks Learn. Syst., January, 2026

PODAR: A Collision Risk Model Offering Valid Signals for Vehicular Interactions.

Chen Chen, Zhipeng Liu, Weiqiang Liang, Mingming Wang, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li

IEEE Intell. Transp. Syst. Mag., 2026

2025

Mind Your Entropy: From Maximum Entropy to Trajectory Entropy-Constrained RL.

Guojian Zhan, Likun Wang, Pengcheng Wang, Feihong Zhang, Jingliang Duan, Masayoshi Tomizuka, Shengbo Eben Li

CoRR, November, 2025

Understanding Connection Between PMP and HJB Equations from the Perspective of Hamilton Dynamics.

Xiangteng Zhang, Yao Lyu, Shengbo Eben Li, Jingliang Duan, Guojian Zhan, Chang Liu, Bo Cheng, Keqiang Li

IEEE Trans. Artif. Intell., October, 2025

Physics Informed Neural Pose Estimation for Real-Time Shape Reconstruction of Soft Continuum Robots.

Guojian Zhan, Xin An, Yuxuan Jiang, Jingliang Duan, Huichan Zhao, Shengbo Eben Li

IEEE Robotics Autom. Lett., July, 2025

Self-supervised Pretraining for Integrated Prediction and Planning of Automated Vehicles.

Yangang Ren, Guojian Zhan, Chen Lv, Jun Li, Fenghua Liang, Keqiang Li

CoRR, July, 2025

Jump-Start Reinforcement Learning with Self-Evolving Priors for Extreme Monopedal Locomotion.

Ziang Zheng, Guojian Zhan, Shiqi Liu, Yao Lyu, Tao Zhang, Shengbo Eben Li

CoRR, July, 2025

CIDC: A Flexible Formation Control Framework for Intelligent Connected Vehicles.

Jiaxin Gao, Shaosong Li, Yao Lyu, Yuxuan Jiang, Guojian Zhan, Yujie Yang, Yuming Yin, Mingming Wang, Shengbo Eben Li

IEEE Trans. Intell. Veh., May, 2025

Enhanced DACER Algorithm with High Diffusion Efficiency.

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

CoRR, May, 2025

Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems.

Yuheng Lei, Yao Lyu, Guojian Zhan, Tao Zhang, Jiangtao Li, Jianyu Chen, Shengbo Eben Li, Sifa Zheng

IEEE Trans. Evol. Comput., April, 2025

Transferable Latent-to-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots.

Ziang Zheng, Guojian Zhan, Bin Shuai, Shengtao Qin, Jiangtao Li, Tao Zhang, Shengbo Eben Li

CoRR, March, 2025

Bootstrap Off-policy with World Model.

Guojian Zhan, Likun Wang, Xiangteng Zhang, Jiaxin Gao, Masayoshi Tomizuka, Shengbo Eben Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Distributional Soft Actor-Critic with Harmonic Gradient for Safe and Efficient Autonomous Driving in Multi-Lane Scenarios.

Feihong Zhang, Guojian Zhan, Bin Shuai, Tianyi Zhang, Jingliang Duan, Shengbo Eben Li

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Transferable Latent-To-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots.

Ziang Zheng, Guojian Zhan, Bin Shuai, Shentao Qin, Jiangtao Li, Tao Zhang, Shengbo Eben Li

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025

Predictive Lagrangian Optimization for Constrained Reinforcement Learning.

Tianqi Zhang, Puzhen Yuan, Guojian Zhan, Ziyu Lin, Yao Lyu, Zhenzhi Qin, Jingliang Duan, Liping Zhang, Shengbo Eben Li

Proceedings of the 64th IEEE Conference on Decision and Control, 2025

Boosting Exploration in Reinforcement Learning for Sparse Reward Tasks.

Yuhang Zhang, Yao Lyu, Guojian Zhan, Wenjun Zou, Shengbo Eben Li

Proceedings of the 2025 American Control Conference, 2025

Canonical Form of Datatic Description in Control Systems.

Guojian Zhan, Ziang Zheng, Shengbo Eben Li

Proceedings of the 2025 American Control Conference, 2025

2024

A Transformation-Aggregation Framework for State Representation of Autonomous Driving Systems.

Guojian Zhan, Yuxuan Jiang, Shengbo Eben Li, Yao Lyu, Xiangteng Zhang, Yuming Yin

IEEE Trans. Intell. Transp. Syst., July, 2024

Quantifying the Individual Differences of Drivers' Risk Perception via Potential Damage Risk Model.

Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li

IEEE Trans. Intell. Transp. Syst., July, 2024

A Reinforcement Learning Benchmark for Autonomous Driving in General Urban Scenarios.

Yuxuan Jiang, Guojian Zhan, Zhiqian Lan, Chang Liu, Bo Cheng, Shengbo Eben Li

IEEE Trans. Intell. Transp. Syst., May, 2024

An Explicit Discrete-Time Dynamic Vehicle Model with Assured Numerical Stability.

Guojian Zhan, Qiang Ge, Haoyu Gao, Yuming Yin, Bin Zhao, Shengbo Eben Li

CoRR, 2024

Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning.

Yuxuan Jiang, Yujie Yang, Zhiqian Lan, Guojian Zhan, Shengbo Eben Li, Qi Sun, Jian Ma, Tianwen Yu, Changwu Zhang

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration.

Zeyang Li, Chuxiong Hu, Yunan Wang, Guojian Zhan, Jie Li, Shengbo Eben Li

CoRR, 2023

Continuous-Time Policy Optimization.

Guojian Zhan, Yuxuan Jiang, Jingliang Duan, Shengbo Eben Li, Bo Cheng, Keqiang Li

Proceedings of the American Control Conference, 2023

2022

Self-Learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections.

Yangang Ren, Jianhua Jiang, Guojian Zhan, Shengbo Eben Li, Chen Chen, Keqiang Li, Jingliang Duan

IEEE Trans. Intell. Transp. Syst., 2022

Quantifying the Individual Differences of Driver' Risk Perception with Just Four Interpretable Parameters.

Chen Chen, Zhiqian Lan, Guojian Zhan, Yao Lyu, Bingbing Nie, Shengbo Eben Li

CoRR, 2022

Improve Generalization of Driving Policy at Signalized Intersections with Adversarial Learning.

Yangang Ren, Guojian Zhan, Liye Tang, Shengbo Eben Li, Jianhua Jiang, Jingliang Duan

CoRR, 2022

2021

Encoding Integrated Decision and Control for Autonomous Driving with Mixed Traffic Flow.

Yangang Ren, Jianhua Jiang, Jingliang Duan, Shengbo Eben Li, Dongjie Yu, Guojian Zhan

CoRR, 2021