Zhu, Zhengbang

7 publications

ICLR 2025 ContraDiff: Planning Towards High Return States via Contrastive Learning Yixiang Shan, Zhengbang Zhu, Ting Long, Liang Qifan, Yi Chang, Weinan Zhang, Liang Yin

ICLR 2025 Reconstruction-Guided Policy: Enhancing Decision-Making Through Agent-Wise State Consistency Liang Qifan, Yixiang Shan, Haipeng Liu, Zhengbang Zhu, Ting Long, Weinan Zhang, Yuan Tian

ICML 2024 DiffStitch: Boosting Offline Reinforcement Learning with Diffusion-Based Trajectory Stitching Guanghe Li, Yixiang Shan, Zhengbang Zhu, Ting Long, Weinan Zhang

NeurIPS 2024 MADiff: Offline Multi-Agent Learning with Diffusion Models Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang

ICML 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

NeurIPSW 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

CoRL 2020 SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving Ming Zhou, Jun Luo, Julian Villella, 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 Nguyen, Mohamed Elsayed, Haitham Ammar, Alexander 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