Hands-On Reinforcement Learning for Games

Understanding rewards-based learning

Machine learning is quickly becoming a broad and growing category, with many forms of learning systems addressed. We categorize learning based on the form of a problem and how we need to prepare it for a machine to process. In the case of supervised machine learning, data is first labeled before it is fed into the machine. Examples of this type of learning are simple image classification systems that are trained to recognize a cat or dog from a prelabeled set of cat and dog images. Supervised learning is the most popular and intuitive type of learning system. Other forms of learning that are becoming increasingly powerful are unsupervised and semi-supervised learning. Both of these methods eliminate the ...