Reinforcement Learning: A Friendly Introduction

Dema Daoun, Fabiha Ibnat, Md. Zulfikar Alom, Zeyar Aung, Mohammad Abdul Azim

Abstract: Reinforcement Learning (RL) is a branch of machine learning (ML) that is used to train artificial intelligence (AI) systems and find the optimal solution for problems. This tutorial paper aims to present an introductory overview of the RL. Furthermore, we discuss the most popular algorithms used in RL and the Markov decision process (MDP) usage in the RL environment. Moreover, RL applications and achievements that shine in the world of AI are covered.