Publications / Preprints

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.
NeurIPS, 2023
paper / code

Robust Quadrupedal Locomotion via Risk-Averse Policy Learning
Jiyuan Shi, Chenjia Bai, Haoran He, Lei Han, Dong Wang, Bin Zhao, Xiu Li, Xuelong Li.
ICRA, 2024
paper / webpage

Large-Scale Actionless Video Pre-Training via Discrete Diffusion for Efficient Policy Learning
Haoran He, Chenjia Bai, Ling Pan, Weinan Zhang, Bin Zhao, Xuelong Li.
preprint, under review, 2024
paper / webpage

Privileged Knowledge Distillation for Sim-to-Real Policy Generalization
Haoran He, Chenjia Bai, Hang Lai, LingXiao Wang, Weinan Zhang.
preprint, under review, 2023
paper / code

Regularized Conditional Diffusion Model for Multi-Task Preference Alignment
Xudong Yu, Chenjia Bai, Haoran He, Changhong Wang, Xuelong Li.
preprint, under review, 2023
paper

Diffusion Models for Reinforcement Learning: A Survey
Zhengbang Zhu, Hanye Zhao, Haoran He, Yichao Zhong, Shenyu Zhang, Yong Yu, Weinan Zhang.
preprint, under review, 2023
paper / project

On the Value of Myopic Behavior in Policy Reuse
Kang Xu, Chenjia Bai, Shuang Qiu, Haoran He, Bin Zhao, Zhen Wang, Wei Li, Xuelong Li.
preprint, under review, 2023
paper