Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

Diffusion models have demonstrated highly-expressive generative capabilities in vision and NLP. Recent studies in reinforcement learning (RL) have shown that diffusion models are also powerful in modeling complex policies or trajectories in offline datasets.

Data and Resources

Cite this as

Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li (2024). Dataset: Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning. https://doi.org/10.57702/hcle5q6g

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Author Haoran He
More Authors
Chenjia Bai
Kang Xu
Zhuoran Yang
Weinan Zhang
Dong Wang
Bin Zhao
Xuelong Li