Train an optimized Q-Learning driving agent that navigates a through its environment towards a goal (a self-driving car that navigates through a simplified road network)
To use the interactive jupyter notebook version of this project:
If you already have Anaconda, you already have installed Jupyter Notebook. If not, see install instructions here: http://jupyter.readthedocs.io/en/latest/install.html
Clone the Smartcab repository and navigate to the directory where the Jupyter notebook is located.
Open the Jupyter (IPython) notebook with the jupyter notebook smartcab.ipynb command.
This project requires Python 2.7 with the pygame library installed.
Udacity provided the project design and starter code.