Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services

This repository is an implementation of the system design and the proposed Deep Diffusion Soft Actor-Critic (D2SAC) algorithm presented in:

"Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services"

Authored by Hongyang Du, Zonghang Li, Dusit Niyato, Jiawen Kang, Zehui Xiong, Huawei Huang, and Shiwen Mao.

The paper can be found at ArXiv.

If our code is useful to you, please cite:

Citation

@article{du2024diffusion,
  title={Diffusion-based Reinforcement Learning for Edge-enabled {AI}-Generated Content Services},
  author={Du, Hongyang and Li, Zonghang and Niyato, Dusit and Kang, Jiawen and Xiong, Zehui and Huang, Huawei and Mao, Shiwen},
  journal={IEEE Transactions on Mobile Computing},
  year={2024},
  publisher={IEEE}
}