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swordest/mec_drl: Deep reinforcement learning for mobile edge computing

原作者: [db:作者] 来自: 网络 收藏 邀请

开源软件名称(OpenSource Name):

swordest/mec_drl

开源软件地址(OpenSource Url):

https://github.com/swordest/mec_drl

开源编程语言(OpenSource Language):

Jupyter Notebook 99.8%

开源软件介绍(OpenSource Introduction):

Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach

Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach

This implements the algorithms in the paper https://arxiv.org/abs/1812.07394

Some tips: Try to start your journey by run one of the ipynb files, like test_save_model_multiple_t02_noBuf.ipynb.

"Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach"

If you found this is useful for your research, please cite this paper using

@article{chen2018decentralized, title={Decentralized Computation Offloading for Multi-User Mobile Edge Computing: A Deep Reinforcement Learning Approach}, author={Chen, Zhao and Wang, Xiaodong}, journal={arXiv preprint arXiv:1812.07394}, year={2018} }

If you have any questions, please contact me via [email protected].




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