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Zhengbang Zhu
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2020 – today
- 2024
- [j1]Zhengbang Zhu
, Rongjun Qin
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. ACM Trans. Inf. Syst. 42(4): 90:1-90:32 (2024) - [c6]Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang:
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching. ICML 2024 - [i10]Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang:
DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching. CoRR abs/2402.02439 (2024) - [i9]Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin:
Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning. CoRR abs/2402.02772 (2024) - [i8]Hanye Zhao, Xiaoshen Han, Zhengbang Zhu, Minghuan Liu, Yong Yu, Weinan Zhang:
Diffusion-based Dynamics Models for Long-Horizon Rollout in Offline Reinforcement Learning. CoRR abs/2405.19189 (2024) - 2023
- [c5]Zhengbang Zhu
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow. DAI 2023: 6:1-6:10 - [i7]Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang:
MADiff: Offline Multi-agent Learning with Diffusion Models. CoRR abs/2305.17330 (2023) - [i6]Zhengbang Zhu, Hanye Zhao, Haoran He, Yichao Zhong, Shenyu Zhang, Yong Yu, Weinan Zhang:
Diffusion Models for Reinforcement Learning: A Survey. CoRR abs/2311.01223 (2023) - 2022
- [c4]Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. ICML 2022: 14173-14196 - [i5]Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. CoRR abs/2203.02214 (2022) - [i4]Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. CoRR abs/2210.05662 (2022) - [i3]Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Liyuan Mao, Ziqing Gong, Weinan Zhang, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu:
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow. CoRR abs/2211.03408 (2022) - [i2]Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao:
Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents. CoRR abs/2212.09033 (2022) - 2020
- [c3]Shichen Sun, Zhengbang Zhu, Xiaowei Dai, Qijun Zhao, Jing Li:
Weakly-Supervised Reconstruction of 3D Objects with Large Shape Variation from Single In-the-Wild Images. ACCV (1) 2020: 3-19 - [c2]Ming Zhou
SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving. CoRL 2020: 264-285 - [c1]Penghui Gui, Ruowei Wang
Improved Data Augmentation of Deep Convolutional Neural Network for Pollen Grains Classification - Third Classified. ICPR Workshops (8) 2020: 490-500 - [i1]Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Aurora Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Dong Chen, Zhengbang Zhu, Nhat M. Nguyen, Mohamed Elsayed, Kun Shao, Sanjeevan Ahilan, Baokuan Zhang, Jiannan Wu, Zhengang Fu, Kasra Rezaee, Peyman Yadmellat, Mohsen Rohani, Nicolas Perez Nieves, Yihan Ni, Seyedershad Banijamali, Alexander I. Cowen-Rivers, Zheng Tian, Daniel Palenicek
SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving. CoRR abs/2010.09776 (2020)
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