# SDN路由优化虚拟仿真实验设计

**Repository Path**: baselinehao/master

## Basic Information

- **Project Name**: SDN路由优化虚拟仿真实验设计
- **Description**: 基于强化学习的软件定义网络路由优化虚拟仿真实验设计
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-08-13
- **Last Updated**: 2025-08-13

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Instructions to execute

1. First, create the virtual environment and activate the environment.
```ruby
virtualenv -p python3 myenv
source myenv/bin/activate
```

2. Then, we install all the required packages.
```ruby
pip install -r requirements.txt
```

3. Register custom gym environment.
```ruby
pip install -e gym-environments/
```

4. Now we are ready to train a DQN agent. To do this, we must execute the following command. Notice that inside the *train_DQN.py* there are different hyperparameters that you can configure to set the training for different topologies, to define the size of the GNN model, etc.
```ruby
python train_DQN.py
```