Self Learning AI-Agents Part I: Markov Decision Processes

A mathematical guide on the theory behind Deep Reinforcement Learning

Artem Oppermann
Towards Data Science
11 min readOct 14, 2018

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updated on 06/18/2023

This is the first article of the multi-part series on self learning AI-Agents or to call it more precisely — Deep Reinforcement Learning. The aim of the series isn’t just to give you an intuition on these topics. Rather I want to provide you with more in depth comprehension of the theory, mathematics and implementation behind the most popular and effective methods of Deep

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