Quanyi Li

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 27

Top Topics

Traffic Signal Control

Simulation Platform

Reinforcement Learning

Top Venues

Publications

Junfeng Long, Wenye Yu, Quanyi Li, Zirui Wang, Dahua Lin, Jiangmiao Pang
Learning H-Infinity Locomotion Control. CoRR (2024)
Xiao Chen, Quanyi Li, Tai Wang, Tianfan Xue, Jiangmiao Pang
GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction. CoRR (2024)
Junfeng Long, Zirui Wang, Quanyi Li, Liu Cao, Jiawei Gao, Jiangmiao Pang
Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response. ICLR (2024)
Pan He, Quanyi Li, Xiaoyong Yuan, Bolei Zhou
A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation. CoRR (2024)
Wayne Wu, Honglin He, Yiran Wang, Chenda Duan, Jack He, Zhizheng Liu, Quanyi Li, Bolei Zhou
MetaUrban: A Simulation Platform for Embodied AI in Urban Spaces. CoRR (2024)
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios. ICRA (2023)
Quanyi Li, Zhenghao Peng, Lan Feng, Qihang Zhang, Zhenghai Xue, Bolei Zhou
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Linrui Zhang, Zhenghao Peng, Quanyi Li, Bolei Zhou
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving. CoRL (2023)
Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou
Guarded Policy Optimization with Imperfect Online Demonstrations. ICLR (2023)
Quanyi Li, Zhenghao Mark Peng, Lan Feng, Zhizheng Liu, Chenda Duan, Wenjie Mo, Bolei Zhou
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling. NeurIPS (2023)
Linrui Zhang, Zhenghao Peng, Quanyi Li, Bolei Zhou
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving. CoRR (2023)
Quanyi Li, Zhenghao Peng, Lan Feng, Zhizheng Liu, Chenda Duan, Wenjie Mo, Bolei Zhou
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling. CoRR (2023)
Zhenghao Mark Peng, Wenjie Mo, Chenda Duan, Quanyi Li, Bolei Zhou
Learning from Active Human Involvement through Proxy Value Propagation. NeurIPS (2023)
Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou
Guarded Policy Optimization with Imperfect Online Demonstrations. CoRR (2023)
Junfeng Long, Zirui Wang, Quanyi Li, Jiawei Gao, Liu Cao, Jiangmiao Pang
Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response. CoRR (2023)
Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou
Human-AI Shared Control via Policy Dissection. NeurIPS (2022)
Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou
Human-AI Shared Control via Frequency-based Policy Dissection. CoRR (2022)
Quanyi Li, Zhenghao Peng, Bolei Zhou
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization. CoRR (2022)
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios. CoRR (2022)
Quanyi Li, Zhenghao Peng, Bolei Zhou
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization. ICLR (2022)
Zhenghao Peng, Quanyi Li, Ka-Ming Hui, Chunxiao Liu, Bolei Zhou
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization. CoRR (2021)
Quanyi Li, Zhenghao Peng, Zhenghai Xue, Qihang Zhang, Bolei Zhou
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. CoRR (2021)
Zhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou
Safe Driving via Expert Guided Policy Optimization. CoRL (2021)
Zhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou
Safe Driving via Expert Guided Policy Optimization. CoRR (2021)
Zhenghao Peng, Quanyi Li, Ka-Ming Hui, Chunxiao Liu, Bolei Zhou
Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization. NeurIPS (2021)
Quanyi Li, Zhenghao Peng, Qihang Zhang, Cong Qiu, Chunxiao Liu, Bolei Zhou
Improving the Generalization of End-to-End Driving through Procedural Generation. CoRR (2020)
Quanyi Li, Haipeng Yao, Tianle Mai, Chunxiao Jiang, Yan Zhang
Reinforcement-Learning- and Belief-Learning-Based Double Auction Mechanism for Edge Computing Resource Allocation. IEEE Internet Things J. 7 (7) (2020)