Deep Reinforcement Learning in Mobile Robot Navigation Tutorial -- Part3: Training

Before we start the actual motion policy training of a mobile robot, we must first understand the task that we are trying to solve. To put it in human language, we are trying to "find the optimal sequence of actions that lead the robot to a given goal". But how do we form this problem into something that a computer can understand and execute? There are two things to consider -- the action and the environment that the action reacts to. In a mobile robot setting, it is quite easy to express the action in a mathematical form.