In this project we will apply reinforcement learning techniques for a self-driving agent in a simplified world to aid it in effectively reaching its destinations in the allotted time.
This project requires Python 2.7 with the pygame library installed
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.
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.