Xiangkun He

Doctor of Engineering

With Certificate of Graduation for Doctorate Study

Tsinghua University

Recommended Ph.D.Supervisor

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Gender:Male
Date of Employment:2025-01-10
Business Address:Phase II of Yinxing Zhijie, Guanlan Street, Longhua District, Shenzhen, Guangdong, China
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Home > Scientific Research > Paper Publications

Trustworthy autonomous driving via defense-aware robust reinforcement learning against worst-case observational perturbations

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Journal:Transportation Research Part C: Emerging Technologies
Note:Xiangkun He, Wenhui Huang and Chen Lv
以唯一一作身份，提出了面向可信自动驾驶的防御型鲁棒强化学习理论方法，解决了在最坏情况感知扰动下自主学习鲁棒安全的交互式端到端驾驶策略的难题。
备注：TRC，中科院1区, Top, 影响因子: 7.6，中国自动化学会（CAA）推荐的A类期刊。
Translation or Not:no

Pre One:Robust decision making for autonomous vehicles at highway on-ramps: A constrained adversarial reinforcement learning approach

Next One:Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees

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