He, Haoran

9 publications

ICLR 2025 Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNets Haoran He, Can Chang, Huazhe Xu, Ling Pan

ICLRW 2025 Pre-Trained Video Generative Models as World Simulators Haoran He, Yang Zhang, Liang Lin, Zhongwen Xu, Ling Pan

ICML 2025 Random Policy Evaluation Uncovers Policies of Generative Flow Networks Haoran He, Emmanuel Bengio, Qingpeng Cai, Ling Pan

ICML 2025 Task-Agnostic Pre-Training and Task-Guided Fine-Tuning for Versatile Diffusion Planner Chenyou Fan, Chenjia Bai, Zhao Shan, Haoran He, Yang Zhang, Zhen Wang

CoRL 2024 Bridging the Sim-to-Real Gap from the Information Bottleneck Perspective Haoran He, Peilin Wu, Chenjia Bai, Hang Lai, Lingxiao Wang, Ling Pan, Xiaolin Hu, Weinan Zhang

NeurIPS 2024 Learning an Actionable Discrete Diffusion Policy via Large-Scale Actionless Video Pre-Training Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li

NeurIPS 2024 Regularized Conditional Diffusion Model for Multi-Task Preference Alignment Xudong Yu, Chenjia Bai, Haoran He, Changhong Wang, Xuelong Li

ICML 2024 SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation Junjie Zhang, Chenjia Bai, Haoran He, Zhigang Wang, Bin Zhao, Xiu Li, Xuelong Li

NeurIPS 2023 Diffusion Model Is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li