Supervised Learning, Unsupervised Learning, Reinforcement Learning, Machine Learning, Artificial Intelligence.
Examples of Reinforcement Learning algorithms are, Q-Learning Monte Carlo SARSA Deep Q Network Now let's look at the approach in which these machine learning techniques work. So supervised learning takes labeled inputs and maps them to known outputs which means you already know the target variable.