kevinwkc/smart-cab

Q-learning driver learns how to follow traffic rules and navigator instructions

Train a smartcab how to drive

This is a project based on reinforcement learning, specifically using Q-learning technique.

It is one of the mandatory projects in Udacity's machine learning engineer nano degree program.

In this project, I've written a python program to simulate an automated driver that learns from the experience how to follow the traffic rules and the navigator using Q-learning technique without being explicitly taught.

Dependencies

This project requires Python 2.7 with the pygame library installed:

https://www.pygame.org/wiki/GettingStarted

Run

Make sure you are in the top-level smartcab directory. Then run:

python smartcab/agent.py

OR:

python -m smartcab.agent