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2020 – today
- 2024
[c11]Xiao Chen, Quanyi Li, Tai Wang, Tianfan Xue, Jiangmiao Pang:
GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction. CVPR 2024: 16436-16445- [c10]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 - [i15]Xiao Chen, Quanyi Li, Tai Wang, Tianfan Xue, Jiangmiao Pang:
GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction. CoRR abs/2402.16174 (2024) - [i14]Pan He, Quanyi Li, Xiaoyong Yuan
, Bolei Zhou:
A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation. CoRR abs/2403.06884 (2024) - [i13]Junfeng Long, Wenye Yu, Quanyi Li, Zirui Wang, Dahua Lin, Jiangmiao Pang:
Learning H-Infinity Locomotion Control. CoRR abs/2404.14405 (2024) - [i12]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 abs/2407.08725 (2024) - 2023
- [j2]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): 3461-3475 (2023) - [c9]Linrui Zhang, Zhenghao Peng, Quanyi Li, Bolei Zhou:
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving. CoRL 2023: 2357-2372 - [c8]Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou:
Guarded Policy Optimization with Imperfect Online Demonstrations. ICLR 2023 - [c7]Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou:
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios. ICRA 2023: 3567-3575 - [c6]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 - [c5]Zhenghao Mark Peng, Wenjie Mo, Chenda Duan, Quanyi Li, Bolei Zhou:
Learning from Active Human Involvement through Proxy Value Propagation. NeurIPS 2023 - [i11]Zhenghai Xue, Zhenghao Peng, Quanyi Li, Zhihan Liu, Bolei Zhou:
Guarded Policy Optimization with Imperfect Online Demonstrations. CoRR abs/2303.01728 (2023) - [i10]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 abs/2306.12241 (2023) - [i9]Linrui Zhang, Zhenghao Peng, Quanyi Li, Bolei Zhou:
CAT: Closed-loop Adversarial Training for Safe End-to-End Driving. CoRR abs/2310.12432 (2023) - [i8]Junfeng Long, Zirui Wang, Quanyi Li, Jiawei Gao, Liu Cao, Jiangmiao Pang:
Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response. CoRR abs/2312.11460 (2023) - 2022
- [c4]Quanyi Li, Zhenghao Peng, Bolei Zhou:
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization. ICLR 2022 - [c3]Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou:
Human-AI Shared Control via Policy Dissection. NeurIPS 2022 - [i7]Quanyi Li, Zhenghao Peng, Bolei Zhou:
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization. CoRR abs/2202.10341 (2022) - [i6]Quanyi Li, Zhenghao Peng, Haibin Wu, Lan Feng, Bolei Zhou:
Human-AI Shared Control via Frequency-based Policy Dissection. CoRR abs/2206.00152 (2022) - [i5]Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, Bolei Zhou:
TrafficGen: Learning to Generate Diverse and Realistic Traffic Scenarios. CoRR abs/2210.06609 (2022) - 2021
- [c2]Zhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou:
Safe Driving via Expert Guided Policy Optimization. CoRL 2021: 1554-1563 - [c1]Zhenghao Peng, Quanyi Li, Ka-Ming Hui, Chunxiao Liu, Bolei Zhou:
Learning to Simulate Self-driven Particles System with Coordinated Policy Optimization. NeurIPS 2021: 10784-10797 - [i4]Quanyi Li, Zhenghao Peng, Zhenghai Xue, Qihang Zhang, Bolei Zhou:
MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning. CoRR abs/2109.12674 (2021) - [i3]Zhenghao Peng, Quanyi Li, Chunxiao Liu, Bolei Zhou:
Safe Driving via Expert Guided Policy Optimization. CoRR abs/2110.06831 (2021) - [i2]Zhenghao Peng, Quanyi Li, Ka-Ming Hui, Chunxiao Liu, Bolei Zhou:
Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization. CoRR abs/2110.13827 (2021) - 2020
- [j1]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): 5976-5985 (2020) - [i1]Quanyi Li, Zhenghao Peng, Qihang Zhang, Cong Qiu, Chunxiao Liu, Bolei Zhou:
Improving the Generalization of End-to-End Driving through Procedural Generation. CoRR abs/2012.13681 (2020)
Coauthor Index
aka: Zhenghao Mark Peng
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