AI Definitions: Reinforcement Learning

Reinforcement Learning - This type of AI learning sits somewhere in between supervised and unsupervised learning. Rather than  being given specific goals, the AI is deployed into an environment where it is allowed to train with minimal feedback. This trial-and-error approach involves adjusting weights until high reward outcomes are reached. 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. Reinforcement learning is indeed used in video game development and has been used to help robots adopt to new environments.   

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