Hands-On Q-Learning with Python

RL, supervised learning, and unsupervised learning

What is the difference between RL, supervised learning, and unsupervised learning? Well, all of them involve developing rules about an unknown environment using labeled or unlabeled data. The following is a simple diagram charting the different terms:

Take a look at the following definitions of each term:

• Supervised learning feeds labeled training data into an algorithm, trains the algorithm on that data, generates predictions for unlabeled testing data, and then compares the predictions of the model to the actual labels. The goal of supervised learning is to generate class labels for unseen ...