Haitong Ma

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 27

Top Topics

Reinforcement Learning

Receding Horizon

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Haotian Zheng, Haitong Ma, Sifa Zheng, Shengbo Eben Li, Jianqiang Wang
Synthesize Efficient Safety Certificates for Learning-Based Safe Control using Magnitude Regularization. ICRA (2024)
Runyu Zhang, Haitong Ma, Na Li
Multi-agent coverage control with transient behavior consideration. L4DC (2024)
Yang Hu, Haitong Ma, Bo Dai, Na Li
Efficient Duple Perturbation Robustness in Low-rank MDPs. CoRR (2024)
Haitong Ma, Zhaolin Ren, Bo Dai, Na Li
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint. CoRR (2024)
Dongjie Yu, Wenjun Zou, Yujie Yang, Haitong Ma, Shengbo Eben Li, Yuming Yin, Jianyu Chen, Jingliang Duan
Safe Model-Based Reinforcement Learning With an Uncertainty-Aware Reachability Certificate. IEEE Trans Autom. Sci. Eng. 21 (3) (2024)
Tianpeng Zhang, Sekeun Kim, Jerome Charton, Haitong Ma, Kyungsang Kim, Na Li, Quanzheng Li
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study. CoRR (2024)
Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flávio P. Calmon, Na Li
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. IROS (2023)
Ziyu Lin, Jun Ma, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Bo Cheng, Tong Heng Lee
Policy Iteration Based Approximate Dynamic Programming Toward Autonomous Driving in Constrained Dynamic Environment. IEEE Trans. Intell. Transp. Syst. 24 (5) (2023)
Ziyu Lin, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Jie Li, Jianyu Chen, Bo Cheng, Jun Ma
Policy-Iteration-Based Finite-Horizon Approximate Dynamic Programming for Continuous-Time Nonlinear Optimal Control. IEEE Trans. Neural Networks Learn. Syst. 34 (9) (2023)
Haitong Ma, Tianpeng Zhang, Yixuan Wu, Flavio P. Calmon, Na Li
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. CoRR (2023)
Yang Guan, Yangang Ren, Qi Sun, Shengbo Eben Li, Haitong Ma, Jingliang Duan, Yifan Dai, Bo Cheng
Integrated Decision and Control: Toward Interpretable and Computationally Efficient Driving Intelligence. IEEE Trans. Cybern. 53 (2) (2023)
Ziqing Gu, Lingping Gao, Haitong Ma, Shengbo Eben Li, Sifa Zheng, Wei Jing, Junbo Chen
Safe-State Enhancement Method for Autonomous Driving via Direct Hierarchical Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 24 (9) (2023)
Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen
Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning. L4DC (2022)
Dongjie Yu, Wenjun Zou, Yujie Yang, Haitong Ma, Shengbo Eben Li, Jingliang Duan, Jianyu Chen
Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate. CoRR (2022)
Dongjie Yu, Haitong Ma, Sheng-bo Li, Jianyu Chen
Reachability Constrained Reinforcement Learning. ICML (2022)
Dongjie Yu, Haitong Ma, Shengbo Eben Li, Jianyu Chen
Reachability Constrained Reinforcement Learning. CoRR (2022)
Haotian Zheng, Haitong Ma, Sifa Zheng, Shengbo Eben Li, Jianqiang Wang
Synthesize Efficient Safety Certificates for Learning-Based Safe Control using Magnitude Regularization. CoRR (2022)
Haitong Ma, Jianyu Chen, Shengbo Eben Li, Ziyu Lin, Yang Guan, Yangang Ren, Sifa Zheng
Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function. CoRR (2021)
Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Jianyu Chen
Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning. CoRR (2021)
Haitong Ma, Xiangteng Zhang, Shengbo Eben Li, Ziyu Lin, Yao Lyu, Sifa Zheng
Feasibility Enhancement of Constrained Receding Horizon Control Using Generalized Control Barrier Function. CoRR (2021)
Haitong Ma, Changliu Liu, Shengbo Eben Li, Sifa Zheng, Wenchao Sun, Jianyu Chen
Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning. CoRR (2021)
Haitong Ma, Xiangteng Zhang, Shengbo Eben Li, Ziyu Lin, Yao Lyu, Sifa Zheng
Feasibility Enhancement of Constrained Receding Horizon Control Using Generalized Control Barrier Function. ICPS (2021)
Yang Guan, Yangang Ren, Shengbo Eben Li, Haitong Ma, Jingliang Duan, Bo Cheng
Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence. CoRR (2021)
Haitong Ma, Yang Guan, Shengbo Eben Li, Xiangteng Zhang, Sifa Zheng, Jianyu Chen
Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring Statewise Safety. CoRR (2021)
Haitong Ma, Jianyu Chen, Shengbo Eben Li, Ziyu Lin, Yang Guan, Yangang Ren, Sifa Zheng
Model-based Constrained Reinforcement Learning using Generalized Control Barrier Function. IROS (2021)
Yang Guan, Yangang Ren, Haitong Ma, Shengbo Eben Li, Qi Sun, Yifan Dai, Bo Cheng
Learn collision-free self-driving skills at urban intersections with model-based reinforcement learning. ITSC (2021)
Ziyu Lin, Jingliang Duan, Shengbo Eben Li, Haitong Ma, Yuming Yin
Continuous-time finite-horizon ADP for automated vehicle controller design with high efficiency. CoRR (2020)