Neural Networks for Optimal Control

This repository contains Python exercises for the "Neural Networks for Optimal Control" course.

Project Setup

In order to run this project it is recommended to use a virtual environment and required to install some dependencies. The setup process for both actions is automated using setup.py.

Installation

Follow these steps to set up the project:

1. Clone the repository

git clone https://github.com/DecodEPFL/NNs-for-OC
cd NNs_for_OC

2. Run the setup script

Execute the following command to create a virtual environment and install dependencies:

python setup.py

3. Activate the virtual environment

After installation, activate the environment (if working on the console):

• On macOS/Linux:

  source venv/bin/activate

• On Windows (CMD or PowerShell):

  venv\Scripts\activate

Otherwise, activate the environment through the UI of your preferred development environment (PyCharm, VS Code, etc). Note: If you use VS Code, you need to add the path manually. One way to do this is by adding a base_folder.pth file in venv/Lib/site-packages containing the complete path, e.g., C:...\NNs-for-OC.

Dependencies

The project requires the following dependencies, which are automatically installed from requirements.txt:

• torch
• numpy
• matplotlib
• jax
• pip
• tqdm

Notes

• Ensure you have Python installed.
• If you encounter permission issues, try running commands with python3 instead of python.