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 zhaochen@ieee.org.

Name		Name	Last commit message	Last commit date
Latest commit History 33 Commits
figs		figs
init		init
init_res		init_res
model_M_02_nB		model_M_02_nB
model_M_02_nB_dqn		model_M_02_nB_dqn
model_M_05_nB		model_M_05_nB
model_M_05_nB_dqn		model_M_05_nB_dqn
model_M_08_nB		model_M_08_nB
model_M_08_nB_dqn		model_M_08_nB_dqn
t_02_nB_dqn		t_02_nB_dqn
t_M_02_nB		t_M_02_nB
t_M_02_nB_dqn		t_M_02_nB_dqn
t_M_05_nB		t_M_05_nB
t_M_05_nB_dqn		t_M_05_nB_dqn
t_M_08_nB		t_M_08_nB
t_M_08_nB_dqn		t_M_08_nB_dqn
t_nB_LGD		t_nB_LGD
t_nB_OGD		t_nB_OGD
GD_Agent_train.ipynb		GD_Agent_train.ipynb
README.md		README.md
data_set_OGD.npz		data_set_OGD.npz
ddpg_lib.py		ddpg_lib.py
example_store_model.ipynb		example_store_model.ipynb
fig_data.npz		fig_data.npz
helper.py		helper.py
mec_env_var.py		mec_env_var.py
read_log.ipynb		read_log.ipynb
test_save_dqn_model_multiple_t02_noBuf.ipynb		test_save_dqn_model_multiple_t02_noBuf.ipynb
test_save_dqn_model_multiple_t05_noBuf.ipynb		test_save_dqn_model_multiple_t05_noBuf.ipynb
test_save_dqn_model_multiple_t08_noBuf.ipynb		test_save_dqn_model_multiple_t08_noBuf.ipynb
test_save_model.ipynb		test_save_model.ipynb
test_save_model_LocalGD_noBuf.ipynb		test_save_model_LocalGD_noBuf.ipynb
test_save_model_OffloadGD_noBuf.ipynb		test_save_model_OffloadGD_noBuf.ipynb
test_save_model_multiple_t02_noBuf.ipynb		test_save_model_multiple_t02_noBuf.ipynb
test_save_model_multiple_t05_noBuf.ipynb		test_save_model_multiple_t05_noBuf.ipynb
test_save_model_multiple_t08_noBuf.ipynb		test_save_model_multiple_t08_noBuf.ipynb
test_test_dqn_model_multiple_t02_noBuf.ipynb		test_test_dqn_model_multiple_t02_noBuf.ipynb
test_test_dqn_model_multiple_t05_noBuf.ipynb		test_test_dqn_model_multiple_t05_noBuf.ipynb
test_test_dqn_model_multiple_t08_noBuf.ipynb		test_test_dqn_model_multiple_t08_noBuf.ipynb
test_test_model_LocalGD_noBuf.ipynb		test_test_model_LocalGD_noBuf.ipynb
test_test_model_OffloadGD_noBuf.ipynb		test_test_model_OffloadGD_noBuf.ipynb
test_test_model_multiple_t02_noBuf.ipynb		test_test_model_multiple_t02_noBuf.ipynb
test_test_model_multiple_t05_noBuf.ipynb		test_test_model_multiple_t05_noBuf.ipynb
test_test_model_multiple_t08_noBuf.ipynb		test_test_model_multiple_t08_noBuf.ipynb

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

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