swordest / mec_drl

Deep reinforcement learning for mobile edge computing

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]

mec_drl's Issues

anyone want to implement this paper can contact with me

I am implementing this paper and would like to have partners together. You can get in touch with me by mail [email protected]

Could anyone tell me the version of python and tensorflow to run this codes? Think you so much!

Who knows the meaning of res in function "def plot_everything(res, win=10):"

----> a,b,c,d = plot_everything(res_rec, win=10)
np.savez(name, a,b,c,d)

NameError: name 'res_rec' is not defined

data_set_OGD.npz

I was interested in the data set it chose to use, however, I couldn't open it by using the NumPy 'load' function in python, can anyone tell me how to open that npz. files. Thank you

I found that the data I ran out did not match the conclusion of the paper

How to run it

Excuse me. I'm so interested in your research work and I wanna test your code, but your code doesn't seem to work on my computer. It would be much appreciated if you can share some tips for running your code.
Thanks a lot.