zhaochengniu / computition-offloading-and-resource-allocation-with-ppo

This project utilizes deep reinforcement learning methods for computation offloading and resource allocation in edge computing systems.

Computition Offloading and Resource Allocation with PPO

This project utilizes deep reinforcement learning methods for computation offloading and resource allocation in edge computing systems. The usage instructions for the code are as follows:

1. Install Dependencies:

Before running the code, please make sure that the required dependencies for the project have been installed. You can use the following command to install the necessary dependencies:

pip install -r requirements.txt

2. Install the Gym environment

You can install the Gym environment by using the setup.py file in the gym-md1 folder:

python setup.py install

3. Run the code:

You can directly run the ppo-md1.py file in the PPO folder to execute the code. You can use the following command to run the code:

python PPO/ppo-md1.py

4. Check the results

You can use TensorBoard to view the results of the code execution, and the results might look something like this: