Udacity MLND: Project: Reinforcement Learning - Train a Smartcab to Drive
Smartcab is a project result submission for Udacity Smartcab project. It is a worksheet in Jupyter Notebook, in which we will use reinforcement machine learning techniques to construct an optimized Q-Learning driving agent that will navigate a Smartcab through its environment towards a goal.
This project uses python 2.7.12. Clone the GitHub repository and use Pip to install jupyter
$ git clone https://github.com/diyjac/smartcab.git
$ pip install jupyter
Smartcab project results can be viewed by opening its jupyter notebook.
$ jupyter notebook smartcab.ipynb
No further updates nor contributions are requested. This project is static.
Smartcab project results are released under the MIT License