Skip to content
forked from swordest/mec_drl

Deep reinforcement learning for mobile edge computing

Notifications You must be signed in to change notification settings

Saeid-jhn/mec_drl

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

33 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

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 journal 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].

About

Deep reinforcement learning for mobile edge computing

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 99.8%
  • Python 0.2%