Skip to content

Latest commit

 

History

History
12 lines (7 loc) · 798 Bytes

README.md

File metadata and controls

12 lines (7 loc) · 798 Bytes

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://doi.org/10.1186/s13638-020-01801-6

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

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

Z. Chen and X. Wang, "Decentralized computation offloading for multi-user mobile edge computing: A deep reinforcement learning approach", EURASIP J. Wireless Commun., vol. 188, no. 2020, pp. 1-21, Sep. 2020.

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