https://github.com/zxch3n/udaml-smart_cab

https://github.com/zxch3n/udaml-smart_cab

Last synced: 21 days ago
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• Host: GitHub
• URL: https://github.com/zxch3n/udaml-smart_cab
• Owner: zxch3n
• Created: 2017-03-27T11:48:22.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-03-27T11:51:27.000Z (almost 8 years ago)
• Last Synced: 2024-10-04T16:22:08.664Z (3 months ago)
• Language: Jupyter Notebook
• Size: 1.04 MB
• Stars: 1
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine Learning Engineer Nanodegree

# Reinforcement Learning

## Project: Train a Smartcab How to Drive

### Install

This project requires **Python 2.7** with the [pygame](https://www.pygame.org/wiki/GettingStarted

) library installed

### Code

Template code is provided in the `smartcab/agent.py` python file. Additional supporting python code can be found in `smartcab/enviroment.py`, `smartcab/planner.py`, and `smartcab/simulator.py`. Supporting images for the graphical user interface can be found in the `images` folder. While some code has already been implemented to get you started, you will need to implement additional functionality for the `LearningAgent` class in `agent.py` when requested to successfully complete the project. 

### Run

In a terminal or command window, navigate to the top-level project directory `smartcab/` (that contains this README) and run one of the following commands:

```python smartcab/agent.py```  

```python -m smartcab.agent```

This will run the `agent.py` file and execute your agent code.