About
This project is part of the Udacity Machine Learning Engineer Nanodegree (https://www.udacity.com/course/machine-learning-engineer-nanodegree-by-google--nd009).
Project Summary
Trained a smartcab, a self-driving car, to follow the traffic rules using reinforcement learning techniques and python.
Steps involved
- read in environment, taking traffic lights and other cars as input
- used reinforcement learning to let the smartcab learn an optimal policy for driving city roads
- fine tuned parameters to make the smartcab be able to reach a destination within a goal time after a training period of 50 test drives
