Reinforcement Learning: Markov Decision Process — Part 1

Author(s): Tan Pengshi Alvin

Originally published on Towards AI.

Introducing the backbone of Reinforcement Learning — The Markov Decision Process

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Image by Ricardo Gomez Angel on Unsplash

In most of my previous articles, I have mostly discussed Supervised Learning, with some sprinkling of elements of Unsupervised Learning. However, in this and the next few articles, I will attempt to attack the problem of Reinforcement Learning and give you, the reader, a clear and intuitive idea of how it works.

Let’s first start with a broad overview of Machine Learning. So in Machine Learning, there are 3 different main sub-fields — namely Unsupervised Learning, Supervised Learning and Reinforcement Learning. Here are the… Read the full blog for free on Medium.

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Published via Towards AI