• 设为首页
  • 点击收藏
  • 手机版
    手机扫一扫访问
    迪恩网络手机版
  • 关注官方公众号
    微信扫一扫关注
    公众号

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].




鲜花

握手

雷人

路过

鸡蛋
该文章已有0人参与评论

请发表评论

全部评论

专题导读
上一篇:
breadwallet/brd-mobile发布时间:2022-08-30
下一篇:
yulifromchina/MobileWebReader: A mobile web reader which uses html, jq, css发布时间:2022-08-30
热门推荐
阅读排行榜

扫描微信二维码

查看手机版网站

随时了解更新最新资讯

139-2527-9053

在线客服(服务时间 9:00~18:00)

在线QQ客服
地址:深圳市南山区西丽大学城创智工业园
电邮:jeky_zhao#qq.com
移动电话:139-2527-9053

Powered by 互联科技 X3.4© 2001-2213 极客世界.|Sitemap