Quanyi Li

According to our database, Quanyi Li authored at least 19 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MetaUrban: A Simulation Platform for Embodied AI in Urban Spaces.

Wayne Wu, Honglin He, Yiran Wang, Chenda Duan, Jack He, Zhizheng Liu, Quanyi Li, Bolei Zhou

CoRR, 2024

Learning H-Infinity Locomotion Control.

Junfeng Long, Wenye Yu, Quanyi Li, Zirui Wang, Dahua Lin, Jiangmiao Pang

CoRR, 2024

A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation.

Pan He, Quanyi Li, Xiaoyong Yuan, Bolei Zhou

CoRR, 2024

Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response.

Junfeng Long, Zirui Wang, Quanyi Li, Liu Cao, Jiawei Gao, Jiangmiao Pang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction.

Xiao Chen, Quanyi Li, Tai Wang, Tianfan Xue, Jiangmiao Pang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning.

Quanyi Li, Zhenghao Peng, Lan Feng, Qihang Zhang, Zhenghai Xue, Bolei Zhou

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Learning from Active Human Involvement through Proxy Value Propagation.

Zhenghao Mark Peng, Wenjie Mo, Chenda Duan, Quanyi Li, Bolei Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling.

Quanyi Li, Zhenghao Mark Peng, Lan Feng, Zhizheng Liu, Chenda Duan, Wenjie Mo, Bolei Zhou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios.

Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Guarded Policy Optimization with Imperfect Online Demonstrations.

Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CAT: Closed-loop Adversarial Training for Safe End-to-End Driving.

Linrui Zhang, Zhenghao Peng, Quanyi Li, Bolei Zhou

Proceedings of the Conference on Robot Learning, 2023

2022

Human-AI Shared Control via Frequency-based Policy Dissection.

Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou

CoRR, 2022

Human-AI Shared Control via Policy Dissection.

Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization.

Quanyi Li, Zhenghao Peng, Bolei Zhou

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning.

Quanyi Li, Zhenghao Peng, Zhenghai Xue, Qihang Zhang, Bolei Zhou

CoRR, 2021

Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization.

Zhenghao Peng, Quanyi Li, Ka-Ming Hui, Chunxiao Liu, Bolei Zhou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Safe Driving via Expert Guided Policy Optimization.

Zhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Reinforcement-Learning- and Belief-Learning-Based Double Auction Mechanism for Edge Computing Resource Allocation.

Quanyi Li, Haipeng Yao, Tianle Mai, Chunxiao Jiang, Yan Zhang

IEEE Internet Things J., 2020

Improving the Generalization of End-to-End Driving through Procedural Generation.

Quanyi Li, Zhenghao Peng, Qihang Zhang, Cong Qiu, Chunxiao Liu, Bolei Zhou

CoRR, 2020