Foundational RL: Markov States, Markov Chain, and Markov Decision Process

Road to Reinforcement Learning

Cover photo generated by the author using an AI tool Dreamstudio (Licenses as https://creativecommons.org/publicdomain/zero/1.0/)

Reinforcement learning (RL) is a type of machine learning in which an agent learns to interact with its environment by trial and error in order to maximize a reward. It is different from supervised learning, in which an agent is trained on labeled examples, and unsupervised learning, in…