#Train a Smartcab How to Drive This project aims to train an agent to drive (in the US). A Q-Learning approach is used.

##Files in the project:

• agent.py: code where an agent learns how to drive using reinforcement learning
• report_sub_3.pdf: pdf file explaining inner workings of algorithm and agent's behaviour
• states_v2.xlsx: list of possible states for the agent

##Install Following installations are required for this project:

• Python 2.7

This project requires following Python libraries:

• numpy
• pandas

##Run

• Step.1) Run python agent.py command to open the simulator

##Links: https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009