Reinforcement learning

Reinforcement learning is a branch of machine learning that enables machines and/or agents to maximize some form of reward within a specific context by taking specific actions. Reinforcement learning is different from supervised and unsupervised learning. Reinforcement learning is used extensively in game theory, control systems, robotics, and other emerging areas of artificial intelligence. The following diagram illustrates the interaction between an agent and an environment in a reinforcement learning problem: