A Beginner's Guide to Q Learning - KDnuggets

In order for you to understand what Q learning is, you need some knowledge of Reinforcement Learning. Reinforcement Learning branches from Machine Learning, it aims to train a model that returns an optimum solution using a sequence of solutions that have been created for a specific problem. The model will have a variety of solutions and when it chooses the right one, a reward signal is generated. If the model performs closer to the goal, a positive reward is generated; however, if the model performs further away from the goal, a negative reward is generated. Q-Learning is a model-free reinforcement learning algorithm.