AI Anyone Can Understand: Part 7 – Q-Learning

Author(s): Andrew Austin

Originally published on Towards AI.

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Q-learning is a way for AI to learn by trial and error. It tries different actions to see what results they produce and then learns from the results to figure out which actions are best to take in different situations.

Photo by Kostiantyn Li on Unsplash

Q-learning is a popular reinforcement learning algorithm that is often used in artificial intelligence (AI) applications. In simple terms, reinforcement learning is a type of machine learning that involves training agents to take action in an environment in order to maximize a reward.

Q-learning is a… Read the full blog for free on Medium.

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Published via Towards AI