5 Ways to Get Started with Reinforcement Learning

Machine learning algorithms, and neural networks in particular, are considered to be the cause of a new AI'revolution'. In this article I will introduce the concept of reinforcement learning but with limited technical details so that readers with a variety of backgrounds can understand the essence of the technique, its capabilities and limitations. At the end of the article, I will provide links to a few resources for implementing RL. Broadly speaking, data-driven algorithms can be categorized into three types: Supervised, Unsupervised, and Reinforcement learning. The first two are generally used to perform tasks such as image classification, detection, etc.