Zhengbang Zhu

According to our database, Zhengbang Zhu authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning.

Yixiang Shan, Zhengbang Zhu, Ting Long, Qifan Liang, Yi Chang, Weinan Zhang, Liang Yin

CoRR, 2024

DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-based Trajectory Stitching.

Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang

CoRR, 2024

2023

Diffusion Models for Reinforcement Learning: A Survey.

Zhengbang Zhu, Hanye Zhao, Haoran He, Yichao Zhong, Shenyu Zhang, Yong Yu, Weinan Zhang

CoRR, 2023

MADiff: Offline Multi-agent Learning with Diffusion Models.

Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang

CoRR, 2023

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow.

Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Ziqing Gong, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

2022

Planning Immediate Landmarks of Targets for Model-Free Skill Transfer across Agents.

Minghuan Liu, Zhengbang Zhu, Menghui Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao

CoRR, 2022

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow.

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

CoRR, 2022

Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems.

Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang

CoRR, 2022

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization.

Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang

Proceedings of the International Conference on Machine Learning, 2022

2020

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving.

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, Haitham Bou-Ammar, Hongbo Zhang, Wulong Liu, Jianye Hao, Jun Wang

CoRR, 2020

Improved Data Augmentation of Deep Convolutional Neural Network for Pollen Grains Classification - Third Classified.

Penghui Gui, Ruowei Wang, Zhengbang Zhu, Feiyu Zhu, Qijun Zhao

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving.

Ming Zhou, Jun Luo, Julian Villela, Yaodong Yang, David Rusu, Jiayu Miao, Weinan Zhang, Montgomery Alban, Iman Fadakar, Zheng Chen, Chongxi Huang, Ying Wen, Kimia Hassanzadeh, Daniel Graves, Zhengbang Zhu, Yihan Ni, Nhat M. Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander I. Cowen-Rivers, Sanjeevan Ahilan, Zheng Tian, Daniel Palenicek, Kasra Rezaee, Peyman Yadmellat, Kun Shao, Dong Chen, Baokuan Zhang, Hongbo Zhang, Jianye Hao, Wulong Liu, Jun Wang

Proceedings of the 4th Conference on Robot Learning, 2020

Weakly-Supervised Reconstruction of 3D Objects with Large Shape Variation from Single In-the-Wild Images.

Shichen Sun, Zhengbang Zhu, Xiaowei Dai, Qijun Zhao, Jing Li

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020