Seuraa
Quanyi Li
Quanyi Li
oxa
Vahvistettu sähköpostiosoite verkkotunnuksessa ed.ac.uk - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning
Q Li, Z Peng, L Feng, Q Zhang, Z Xue, B Zhou
IEEE transactions on pattern analysis and machine intelligence 45 (3), 3461-3475, 2022
1522022
Reinforcement-learning-and belief-learning-based double auction mechanism for edge computing resource allocation
Q Li, H Yao, T Mai, C Jiang, Y Zhang
IEEE Internet of Things Journal 7 (7), 5976-5985, 2019
662019
Learning to simulate self-driven particles system with coordinated policy optimization
Z Peng, Q Li, KM Hui, C Liu, B Zhou
Advances in Neural Information Processing Systems 34, 10784-10797, 2021
522021
Trafficgen: Learning to generate diverse and realistic traffic scenarios
L Feng, Q Li, Z Peng, S Tan, B Zhou
2023 IEEE International Conference on Robotics and Automation (ICRA), 3567-3575, 2023
452023
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
Q Li, Z Peng, B Zhou
International Conference on Learning Representations, 2022
312022
Safe driving via expert guided policy optimization
Z Peng, Q Li, C Liu, B Zhou
Conference on Robot Learning, 1554-1563, 2022
292022
Improving the generalization of end-to-end driving through procedural generation
Q Li, Z Peng, Q Zhang, C Liu, B Zhou
CVPR workshop, 2020
212020
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling
Q Li, Z Peng, L Feng, C Duan, W Mo, B Zhou
Advances in neural information processing systems, 2023
172023
Human-AI Shared Control via Policy Dissection
Q Li, Z Peng, H Wu, L Feng, B Zhou
Advances in Neural Information Processing Systems, 2022
62022
Learning from active human involvement through proxy value propagation
ZM Peng, W Mo, C Duan, Q Li, B Zhou
Advances in neural information processing systems 36, 2024
42024
Cat: Closed-loop adversarial training for safe end-to-end driving
L Zhang, Z Peng, Q Li, B Zhou
Conference on Robot Learning, 2357-2372, 2023
42023
Guarded Policy Optimization with Imperfect Online Demonstrations
Z Xue, Z Peng, Q Li, Z Liu, B Zhou
International Conference on Learning Representations, 2023
32023
The HIM Solution for Legged Locomotion: Minimal Sensors, Efficient Learning, and Substantial Agility
J Long, ZR Wang, Q Li, L Cao, J Gao, J Pang
The Twelfth International Conference on Learning Representations, 2023
12023
Learning H-Infinity Locomotion Control
J Long, W Yu, Q Li, Z Wang, D Lin, J Pang
arXiv preprint arXiv:2404.14405, 2024
2024
A Holistic Framework Towards Vision-based Traffic Signal Control with Microscopic Simulation
P He, Q Li, X Yuan, B Zhou
arXiv preprint arXiv:2403.06884, 2024
2024
GenNBV: Generalizable Next-Best-View Policy for Active 3D Reconstruction
X Chen, Q Li, T Wang, T Xue, J Pang
Computer Vision and Pattern Recognition (CVPR), 2024
2024
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