Haitong Ma

According to our database, Haitong Ma authored at least 16 papers between 2020 and 2023.

Collaborative distances:

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

2023

Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control.

Ziyu Lin, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Jie Li, Jianyu Chen, Bo Cheng, Jun Ma

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Safe-State Enhancement Method for Autonomous Driving via Direct Hierarchical Reinforcement Learning.

Ziqing Gu, Lingping Gao, Haitong Ma, Shengbo Eben Li, Sifa Zheng, Wei Jing, Junbo Chen

IEEE Trans. Intell. Transp. Syst., September, 2023

Policy Iteration Based Approximate Dynamic Programming Toward Autonomous Driving in Constrained Dynamic Environment.

Ziyu Lin, Jun Ma, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Bo Cheng, Tong Heng Lee

IEEE Trans. Intell. Transp. Syst., May, 2023

Integrated Decision and Control: Toward Interpretable and Computationally Efficient Driving Intelligence.

Yang Guan, Yangang Ren, Qi Sun, Shengbo Eben Li, Haitong Ma, Jingliang Duan, Yifan Dai, Bo Cheng

IEEE Trans. Cybern., 2023

Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization.

Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li

IROS, 2023

2022

Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate.

Dongjie Yu, Wenjun Zou, Yujie Yang, Haitong Ma, Shengbo Eben Li, Jingliang Duan, Jianyu Chen

CoRR, 2022

Synthesize Efficient Safety Certificates for Learning-Based Safe Control using Magnitude Regularization.

Haotian Zheng, Haitong Ma, Sifa Zheng, Shengbo Eben Li, Jianqiang Wang

CoRR, 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

Proceedings of the Learning for Dynamics and Control Conference, 2022

Reachability Constrained Reinforcement Learning.

Dongjie Yu, Haitong Ma, Sheng-bo Li, Jianyu Chen

Proceedings of the International Conference on Machine Learning, 2022

2021

Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning.

Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen

CoRR, 2021

Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety.

Haitong Ma, Yang Guan, Shengbo Eben Li, Xiangteng Zhang, Sifa Zheng, Jianyu Chen

CoRR, 2021

Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence.

Yang Guan, Yangang Ren, Shengbo Eben Li, Haitong Ma, Jingliang Duan, Bo Cheng

CoRR, 2021

Learn collision-free self-driving skills at urban intersections with model-based reinforcement learning.

Yang Guan, Yangang Ren, Haitong Ma, Shengbo Eben Li, Qi Sun, Yifan Dai, Bo Cheng

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function.

Haitong Ma, Jianyu Chen, Shengbo Eben Li, Ziyu Lin, Yang Guan, Yangang Ren, Sifa Zheng

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Feasibility Enhancement of Constrained Receding Horizon Control Using Generalized Control Barrier Function.

Haitong Ma, Xiangteng Zhang, Shengbo Eben Li, Ziyu Lin, Yao Lyu, Sifa Zheng

Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

2020

Continuous-time finite-horizon ADP for automated vehicle controller design with high efficiency.

Ziyu Lin, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Yuming Yin

CoRR, 2020