Reinforcement Learning: Introduction and Main Concepts

Making the first step into the world of reinforcement learning

Introduction

Reinforcement learning is a special domain in machine learning that differs a lot from the classic methods used in supervised or unsupervised learning.

The ultimate objective consists of developing a so-called agent that will perform optimal actions in environments. From the start, the agent usually performs very poorly but as time goes on, it adapts its strategy from the trial and error approach by interacting with the environment.

The …

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