Reinforcement Learning Concept on Cart-Pole with DQN

CartPole, also known as inverted pendulum, is a game in which you try to balance the pole as long as possible. It is assumed that at the tip of the pole, there is an object which makes it unstable and very likely to fall over. The goal of this task is to move the cart left and right so that the pole can stand (within a certain angle) as long as possible. In this post, we will look at reinforcement learning, a field in artificial intelligence where the AI explores the environment all by itself by playing the game many many times until it learns the right way to play the game. As you can see here, at the beginning of the training, the agent has no idea of where to move a cart.