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Tensorflow implementation of the algorithm of Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing. Please refer to our paper https://ojs.aaai.org/index.php/AAAI/article/view/29192.

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Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing

Tensorflow implementation of the algorithm of Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing. Networks are trained using Tensorflow 2.6 and Python 3.8. Please refer to our paper (https://ojs.aaai.org/index.php/AAAI/article/view/29192).

Installation

pip install -r requirements.txt

Usage

The convergence experiment can be run by calling:

python -u ./main.py  --folder 'storage' --subfolder 'standard_test' 

Detailed environment settings alternations please refer to the auguments part of file 'main.py'.

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Tensorflow implementation of the algorithm of Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing. Please refer to our paper https://ojs.aaai.org/index.php/AAAI/article/view/29192.

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