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Zhengbang Zhu
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SMARTS: Scalable Multi-agent Reinforcement Learning Training School for Autonomous Driving
M Zhou, J Luo, J Villella, Y Yang, D Rusu, J Miao, W Zhang, M Alban, ...
CoRL 2020 (Best System Paper Award), 2020
175*2020
Diffusion Models for Reinforcement Learning: A Survey
Z Zhu, H Zhao, H He, Y Zhong, S Zhang, Y Yu, W Zhang
arXiv preprint arXiv:2311.01223, 2023
132023
MADiff: Offline Multi-agent Learning with Diffusion Models
Z Zhu, M Liu, L Mao, B Kang, M Xu, Y Yu, S Ermon, W Zhang
arXiv preprint arXiv:2305.17330, 2023
82023
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization
M Liu, Z Zhu, Y Zhuang, W Zhang, J Hao, Y Yu, J Wang
ICML 2022, 2022
72022
Weakly-supervised Reconstruction of 3D Objects with Large Shape Variation from Single In-the-Wild Images
S Sun, Z Zhu, X Dai, Q Zhao, J Li
ACCV 2020, 2020
52020
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow
Z Zhu, S Zhang, Y Zhuang, Y Liu, M Liu, L Mao, Z Gong, S Kai, Q Gu, ...
DAI 2023 (Best Student Paper Award), 2023
2*2023
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems
Z Zhu, R Qin, J Huang, X Dai, Y Yu, Y Yu, W Zhang
ACM Transactions on Information Systems 42 (4), 2024
12024
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning
Y Shan, Z Zhu, T Long, Q Liang, Y Chang, W Zhang, L Yin
arXiv preprint arXiv:2402.02772, 2024
2024
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching
G Li, Y Shan, Z Zhu, T Long, W Zhang
arXiv preprint arXiv:2402.02439, 2024
2024
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents
M Liu, Z Zhu, M Zhu, Y Zhuang, W Zhang, J Hao
arXiv preprint arXiv:2212.09033, 2022
2022
Imitation Learning via Multi-Step Occupancy Measure Matching
M Liu, H Wang, Y Zhang, M Xu, Z Zhu, W Zhang
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Articles 1–11