Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis. - Tao Li 046; Haozhe Lei; Quanyan Zhu (CoRR, 2022)

Level-k Meta-Learning for Pedestrian-Aware Self-Driving. - Haozhe Lei; Quanyan Zhu (CoRR, 2022)

Self-Adaptive Driving in Nonstationary Environments through Conjectural Online Lookahead Adaptation. - Tao Li 046; Haozhe Lei; Quanyan Zhu (ICRA, 2023)

Generalizable Wireless Navigation through Physics-Informed Reinforcement Learning in Wireless Digital Twin. - Mingsheng Yin; Tao Li 046; Haozhe Lei; Yaqi Hu; Sundeep Rangan; Quanyan Zhu (CoRR, 2023)

Neurosymbolic Meta-Reinforcement Lookahead Learning Achieves Safe Self-Driving in Non-Stationary Environments. - Haozhe Lei; Quanyan Zhu (CoRR, 2023)

Strategic Information Attacks on Incentive-Compatible Navigational Recommendations in Intelligent Transportation Systems. - Ya-Ting Yang; Haozhe Lei; Quanyan Zhu (CoRR, 2023)

Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning. - Mingsheng Yin; Tao Li 046; Haozhe Lei; Yaqi Hu; Sundeep Rangan; Quanyan Zhu (ICRA, 2024)

ADAPT: A Game-Theoretic and Neuro-Symbolic Framework for Automated Distributed Adaptive Penetration Testing. - Haozhe Lei; Yunfei Ge; Quanyan Zhu (MILCOM, 2024)

Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management. - Tao Li 046; Zilin Bian; Haozhe Lei; Fan Zuo; Ya-Ting Yang; Quanyan Zhu; Zhenning Li; Zhibin Chen; Kaan Ozbay (CoRR, 2024)

Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning. - Tao Li 046; Zilin Bian; Haozhe Lei; Fan Zuo; Ya-Ting Yang; Quanyan Zhu; Zhenning Li; Kaan Ozbay (CoRR, 2024)

Adaptive Incentive-Compatible Navigational Route Recommendations in Urban Transportation Networks. - Ya-Ting Yang; Haozhe Lei; Quanyan Zhu (CoRR, 2024)

PRADA: Proactive Risk Assessment and Mitigation of Misinformed Demand Attacks on Navigational Route Recommendations. - Ya-Ting Yang; Haozhe Lei; Quanyan Zhu (CoRR, 2024)

Digital Twin-Enhanced Wireless Indoor Navigation: Achieving Efficient Environment Sensing With Zero-Shot Reinforcement Learning. - Tao Li 046; Haozhe Lei; Hao Guo 007; Mingsheng Yin; Yaqi Hu; Quanyan Zhu; Sundeep Rangan (IEEE Open J. Commun. Soc., 2025)

Traffic Adaptive Moving-window Service Patrolling for Real-time Incident Management during High-impact Events. - Haozhe Lei; Ya-Ting Yang; Tao Li 046; Zilin Bian; Fan Zuo; Sundeep Rangan; Kaan Ozbay (CoRR, 2025)

Reinforcement Learning with Physics-Informed Symbolic Program Priors for Zero-Shot Wireless Indoor Navigation. - Tao Li 046; Haozhe Lei; Mingsheng Yin; Yaqi Hu (CoRR, 2025)