AI Definitions: Reinforcement Learning
/Reinforcement Learning - Rather than being given specific goals, the AI is deployed into an environment where it can train with minimal feedback. This trial-and-error approach involves adjusting weights until high-reward outcomes are achieved. Desirable behaviors are rewarded, and undesirable behaviors are punished. It is similar to a person learning how to work through levels of a video game, searching for an effective strategy. This type of machine learning sits somewhere in between supervised (by humans) and unsupervised learning. Reinforcement learning is used in video game development and has helped robots adapt to new environments.