Zhenghao Peng
Cited by
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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
Swintextspotter: Scene text spotting via better synergy between text detection and text recognition
M Huang, Y Liu, Z Peng, C Liu, D Lin, S Zhu, N Yuan, K Ding, L Jin
proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
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, 2021
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
Efficient Learning of Safe Driving Policy via Human-AI Copilot Optimization
Q Li, Z Peng, B Zhou
arXiv preprint arXiv:2202.10341, 2022
Safe Driving via Expert Guided Policy Optimization
Z Peng, Q Li, C Liu, B Zhou
5th Annual Conference on Robot Learning, 2021
Learning to drive by watching youtube videos: Action-conditioned contrastive policy pretraining
Q Zhang, Z Peng, B Zhou
European Conference on Computer Vision, 111-128, 2022
AXNet: ApproXimate computing using an end-to-end trainable neural network
Z Peng, X Chen, C Xu, N Jing, X Liang, C Lu, L Jiang
Proceedings of the International Conference on Computer-Aided Design, 1-8, 2018
Scenarionet: Open-source platform for large-scale traffic scenario simulation and modeling
Q Li, ZM Peng, L Feng, Z Liu, C Duan, W Mo, B Zhou
Advances in neural information processing systems 36, 2024
Improving the Generalization of End-to-End Driving through Procedural Generation
Q Li, Z Peng, Q Zhang, C Qiu, C Liu, B Zhou
arXiv preprint arXiv:2012.13681, 2020
Safe exploration by solving early terminated mdp
H Sun, Z Xu, M Fang, Z Peng, J Guo, B Dai, B Zhou
arXiv preprint arXiv:2107.04200, 2021
Novel policy seeking with constrained optimization
H Sun, Z Peng, B Dai, J Guo, D Lin, B Zhou
arXiv preprint arXiv:2005.10696, 2020
Non-local policy optimization via diversity-regularized collaborative exploration
Z Peng, H Sun, B Zhou
arXiv preprint arXiv:2006.07781, 2020
Approximate random dropout for DNN training acceleration in GPGPU
Z Song, R Wang, D Ru, Z Peng, H Huang, H Zhao, X Liang, L Jiang
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 108-113, 2019
Human-AI Shared Control via Policy Dissection
Q Li, Z Peng, H Wu, L Feng, B Zhou
Advances in Neural Information Processing Systems 35, 8853-8867, 2022
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
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
Constrained mdps can be solved by eearly-termination with recurrent models
H Sun, Z Xu, Z Peng, M Fang, T Wang, B Dai, B Zhou
NeurIPS 2022 Foundation Models for Decision Making Workshop, 2022
Guarded policy optimization with imperfect online demonstrations
Z Xue, Z Peng, Q Li, Z Liu, B Zhou
arXiv preprint arXiv:2303.01728, 2023
Swintextspotter v2: Towards better synergy for scene text spotting
M Huang, D Peng, H Li, Z Peng, C Liu, D Lin, Y Liu, X Bai, L Jin
arXiv preprint arXiv:2401.07641, 2024
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