AI Research for Generalizable and Interpretable Machine Autonomy
  1. arXiv
    ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling
    Quanyi Li*, Zhenghao Peng*, Lan Feng*, Zhizheng Liu, Chenda Duan, Wenjie Mo, and Bolei Zhou
    Preprint (arXiv) , 2023
  2. arXiv
    BEVGen: Street-View Image Generation from a Bird’s-Eye View Layout
    Alexander Swerdlow, Runsheng Xu, and Bolei Zhou
    Preprint (arXiv) , 2023
  3. ICLR
    Guarded Policy Optimization with Imperfect Online Demonstrations
    Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, and Bolei Zhou
    International Conference on Learning Representation (ICLR) , 2023
  4. ICRA
    TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
    Lan Feng*, Quanyi Li*, Zhenghao Peng*, Shuhan Tan, and Bolei Zhou
    International Conference on Robotics and Automation (ICRA) , 2023
  5. NeurIPS
    Human-AI Shared Control via Policy Dissection
    Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, and Bolei Zhou
    Advances in Neural Information Processing Systems (NeurIPS) , 2022
  6. ICLR
    Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
    Quanyi Li*, Zhenghao Peng*, and Bolei Zhou
    International Conference on Learning Representations (ICLR) , 2022
  7. NeurIPS
    Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization
    Zhenghao Peng, Quanyi Li, Chunxiao Liu, and Bolei Zhou
    Advances in Neural Information Processing Systems (NeurIPS) , 2021
  8. CoRL
    Safe Driving via Expert Guided Policy Optimization
    Zhenghao Peng*, Quanyi Li*, Chunxiao Liu, and Bolei Zhou
    5th Annual Conference on Robot Learning (CoRL) , 2021
  9. TPAMI
    MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
    Quanyi Li*, Zhenghao Peng*, Lan Feng, Qihang Zhang, Zhenghai Xue, and Bolei Zhou
    (TPAMI) , 2021