AI Research for Generalizable and Interpretable Machine Autonomy
  1. arXiv
    Urban Scene Diffusion through Semantic Occupancy Map
    Junge Zhang, Qihang Zhang, Li Zhang, Ramana Rao Kompella, Gaowen Liu, and Bolei Zhou
    Preprint (arXiv) , 2024
    Webpage PDF
  2. NeurIPS Spotlight
    Learning from Active Human Involvement through Proxy Value Propagation
    Zhenghao Peng, Wenjie Mo, Chenda Duan, Quanyi Li, and Bolei Zhou
    Advances in Neural Information Processing Systems (NeurIPS Spotlight) , 2023
    Webpage Code
  3. CoRL
    CAT: Closed-loop Adversarial Training for Safe End-to-End Driving
    Linrui Zhang, Zhenghao Peng, Quanyi Li, and Bolei Zhou
    7th Annual Conference on Robot Learning (CoRL) , 2023
    Webpage PDF Code
  4. NeurIPS
    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
    Thirty-seventh Conference on Neural Information Processing Systems Datasets and Benchmarks Track (NeurIPS) , 2023
    Webpage PDF Code
  5. RA-L
    BEVGen: Street-View Image Generation from a Bird’s-Eye View Layout
    Alexander Swerdlow, Runsheng Xu, and Bolei Zhou
    IEEE Robotics and Automation Letters (RA-L) , 2024
    Webpage PDF Code
  6. 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
    Webpage PDF Code
  7. 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
    Webpage PDF Code Video
  8. 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
    Webpage PDF Code
  9. 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
    Webpage PDF Code Video
  10. 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
    Webpage PDF Code Talk
  11. 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
    Webpage PDF Code Video
  12. 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
    Webpage PDF Code Video