Deep Reinforcement Learning
Deep Reinforcement Learning is the middle ground between Supervised and Unsupervised Learning. In this case, the algorithm gets unclassified data and processes it. Subsequently, it gets feedback, which supports the algorithm in learning.
Areas of application for Reinforcement Learning range from robotics to game theory to self-driving cars.