Skip to content

Project 4: Train a Smartcab to Drive for Udacity's Machine Learning Nanodegree

Notifications You must be signed in to change notification settings

tomasn4a/train_a_smartcab_to_drive

Repository files navigation

Train a Smartcab How to Drive

Using Reinforcement Learning algorithms like Q-Learning to train artificial agents to take optimal actions in an environment.

Install

This project requires Python 2.7 with the pygame library installed:

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

Code

Open smartcab/agent.py and implement LearningAgent. Follow TODOs for further instructions.

Run

Make sure you are in the top-level project directory smartcab/ (that contains this README). Then run:

python smartcab/agent.py

OR:

python -m smartcab.agent

About

Project 4: Train a Smartcab to Drive for Udacity's Machine Learning Nanodegree

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages