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)

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 (ICPS, 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 (IROS, 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 004; Yifan Dai; Bo Cheng 003 (ITSC, 2021)

Integrated Decision and Control: Towards Interpretable and Efficient Driving Intelligence. - Yang Guan; Yangang Ren; Shengbo Eben Li; Haitong Ma; Jingliang Duan; Bo Cheng 003 (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)

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)

Reachability Constrained Reinforcement Learning. - Dongjie Yu; Haitong Ma; Sheng-bo Li 001; Jianyu Chen (ICML, 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 (L4DC, 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)

Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization. - Haitong Ma; Tianpeng Zhang; Yixuan Wu; Flávio P. Calmon; Na Li 002 (IROS, 2023)

Integrated Decision and Control: Toward Interpretable and Computationally Efficient Driving Intelligence. - Yang Guan; Yangang Ren; Qi Sun 004; Shengbo Eben Li; Haitong Ma; Jingliang Duan; Yifan Dai; Bo Cheng 003 (IEEE Trans. Cybern., 2023)

Policy Iteration Based Approximate Dynamic Programming Toward Autonomous Driving in Constrained Dynamic Environment. - Ziyu Lin; Jun Ma 008; Jingliang Duan; Shengbo Eben Li; Haitong Ma; Bo Cheng 003; Tong Heng Lee (IEEE Trans. Intell. Transp. Syst., 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., 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 042; Jianyu Chen; Bo Cheng 003; Jun Ma 008 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Synthesize Efficient Safety Certificates for Learning-Based Safe Control using Magnitude Regularization. - Haotian Zheng; Haitong Ma; Sifa Zheng; Shengbo Eben Li; Jianqiang Wang 003 (ICRA, 2024)

Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint. - Haitong Ma; Zhaolin Ren; Bo Dai 001; Na Li 002 (IROS, 2024)

Multi-agent coverage control with transient behavior consideration. - Runyu Zhang 001; Haitong Ma; Na Li 002 (L4DC, 2024)

Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study. - Tianpeng Zhang; Sekeun Kim; Jerome Charton; Haitong Ma; Kyungsang Kim; Na Li 002; Quanzheng Li (CoRR, 2024)

Distributed Thompson Sampling Under Constrained Communication. - Saba Zerefa; Zhaolin Ren; Haitong Ma; Na Li 002 (IEEE Control. Syst. Lett., 2024)

Safe Model-Based Reinforcement Learning With an Uncertainty-Aware Reachability Certificate. - Dongjie Yu; Wenjun Zou; Yujie Yang; Haitong Ma; Shengbo Eben Li; Yuming Yin; Jianyu Chen; Jingliang Duan (IEEE Trans Autom. Sci. Eng., 2024)

Efficient Duple Perturbation Robustness in Low-rank MDPs. - Yang Hu; Haitong Ma; Na Li 002; Bo Dai 001 (L4DC, 2025)

Soft Diffusion Actor-Critic: Efficient Online Reinforcement Learning for Diffusion Policy. - Haitong Ma; Tianyi Chen; Kai Wang; Na Li 002; Bo Dai 001 (CoRR, 2025)

Learn Zero-Constraint-Violation Safe Policy in Model-Free Constrained Reinforcement Learning. - Haitong Ma; Changliu Liu; Shengbo Eben Li; Sifa Zheng; Wenchao Sun; Jianyu Chen (IEEE Trans. Neural Networks Learn. Syst., 2025)

One-Step Flow Policy Mirror Descent. - Tianyi Chen; Haitong Ma; Na Li 002; Kai Wang; Bo Dai 001 (CoRR, 2025)

Offline Imitation Learning upon Arbitrary Demonstrations by Pre-Training Dynamics Representations. - Haitong Ma; Bo Dai 001; Zhaolin Ren; Yebin Wang; Na Li 002 (CoRR, 2025)