Reinforcement learning

Typically, machine learning or machine learning is known for supervised and unsupervised learning. Both need to have observations or data to work with in order to explore possible underlying patterns. The first of them, from labeled data, learns to predict the output (classification or regression), and the second, learns the inherent structure of the data and helps us understand it better. But what about reinforcement learning? … Continue reading