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The codes and data to reproduce the results in the paper named 'Hybrid Job Scheduling in IoT-enabled Cloud Manufacturing with Sparse-reward Deep Reinforcement Learning', which will be open source upon the acceptance of the manuscript.

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The codes for the paper named 'Hybrid Task Scheduling in Cloud Manufacturing with Sparse-reward Deep Reinforcement Learning'.

Implementation:

python main.py

If you find something useful (maybe), please cite the paper as:

@article{wang2024hybrid,

title={Hybrid Task Scheduling in Cloud Manufacturing with Sparse-reward Deep Reinforcement Learning},

author={Wang, Xiaohan and Laili, Yuanjun and Zhang, Lin and Liu, Yongkui},

journal={IEEE TASE},

year={2022},

publisher={IEEE} }

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The codes and data to reproduce the results in the paper named 'Hybrid Job Scheduling in IoT-enabled Cloud Manufacturing with Sparse-reward Deep Reinforcement Learning', which will be open source upon the acceptance of the manuscript.

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