MetaDrive for AI and Autonomy Research
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
[Paper] [Code] [Webpage]
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios
Lan Feng*, Quanyi Li*, Zhenghao Peng*, Shuhan Tan, Bolei Zhou
International Conference on Robotics and Automation (ICRA) 2023
[Paper] [Code] [Webpage]
Human-AI Shared Control via Policy Dissection
Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou
Neural Information Processing Systems (NeurIPS) 2022
[Paper] [Code] [Webpage]
Learning to Drive by Watching YouTube videos: Action-Conditioned Contrastive Policy Pretraining
Qihang Zhang, Zhenghao Peng, Bolei Zhou
European Conference on Computer Vision (ECCV) 2022
[Paper] [Code] [Webpage]
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning
Quanyi Li*, Zhenghao Peng*, Lan Feng, Qihang Zhang, Zhenghai Xue, Bolei Zhou
IEEE Transactions on PAMI (TPAMI)
[Paper] [Code] [Webpage]
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
Quanyi Li*, Zhenghao Peng*, Bolei Zhou
International Conference on Learning Representation (ICLR) 2022
[Paper] [Code] [Webpage] [Video]
Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization
Zhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou
NeurIPS 2021
[Paper] [Code] [Webpage] [Poster] [Talk]
Safe Driving via Expert Guided Policy Optimization
Zhenghao Peng*, Quanyi Li*, Chunxiao Liu, Bolei Zhou
Conference on Robot Learning (CoRL) 2021
[Paper] [Code] [Webpage] [Poster]
Bolei Zhou
Zhenghao Peng
Quanyi Li
Qihang Zhang
Lan Feng