https://github.com/tapishr/mlnd-self_driving_cab_simulation

This project uses reinforcement learning to train a cab to drive in a simulated environment
https://github.com/tapishr/mlnd-self_driving_cab_simulation

cab python reinforcement-learning

Last synced: 11 days ago
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This project uses reinforcement learning to train a cab to drive in a simulated environment

• Host: GitHub
• URL: https://github.com/tapishr/mlnd-self_driving_cab_simulation
• Owner: tapishr
• Created: 2017-08-29T01:50:18.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2017-08-29T01:55:07.000Z (over 7 years ago)
• Last Synced: 2024-10-24T22:14:05.913Z (about 2 months ago)
• Topics: cab, python, reinforcement-learning
• Language: HTML
• Size: 754 KB
• Stars: 0
• Watchers: 1
• 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.