Publications

2024

  1. ICRA
    Chance-Aware Lane Change with High-Level Model Predictive Control Through Curriculum Reinforcement Learning
    Yubin Wang ,  Yulin Li ,  Zengqi Peng , and 2 more authors
    IEEE International Conference on Robotics and Automation (ICRA), 2024
    arXiv PDF
  2. arXiv
    Bilevel Multi-Armed Bandit-Based Hierarchical Reinforcement Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
    Zengqi Peng ,  Yubin Wang ,  Lei Zheng , and 1 more author
    Preprint, 2024
  3. IROS
    Reward-Driven Automated Curriculum Learning for Interaction-Aware Self-Driving at Unsignalized Intersections
    Zengqi Peng ,  Xiao Zhou ,  Lei Zheng , and 2 more authors
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
    arXiv PDF

2023

  1. arXiv
    Learning the References of Online Model Predictive Control for Urban Self-Driving
    Yubin Wang ,  Zengqi Peng ,  Yusen Xie , and 3 more authors
    arXiv preprint arXiv:2308.15808, 2023
    arXiv PDF Code Website
  2. ITSC
    Curriculum Proximal Policy Optimization with Stage-Decaying Clipping for Self-Driving at Unsignalized Intersections
    Zengqi Peng ,  Xiao Zhou ,  Yubin Wang , and 3 more authors
    IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023
    arXiv PDF

2022

  1. APCCAS
    3D Autonomous Navigation of UAVs: An Energy-Efficient and Collision-Free Deep Reinforcement Learning Approach
    Yubin Wang ,  Karnika Biswas ,  Liwen Zhang , and 2 more authors
    IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), 2022
  2. CCTA
    A Deep-Learning-Based Observer for State Estimation of Direct Contact Membrane Distillation System Modeled by Differential Algebraic Equations
    Yubin Wang ,  Yasmine Marani ,  and  Taous Meriem Laleg Kirati
    IEEE Conference on Control Technology and Applications (CCTA), 2022
    PDF