This blog post is about learning an agent to warn the driver. This is an implementation of q_learning and Sarsa algorithms using linear function approximation on the self driving car domain, especially ADAS (Advanced driver assistance systems). Problem Description Drivers drive good most of the time and they are bad only a few times. The problem statement considers the fact that all the drivers are good most of the time. This experiment's main goal is to study whether an agent can learn the behavior of the driver when they…