This repository contains series of modules to get started with Reinforcement Learning with MATLAB.

It is divided into 4 stages.

In Stage 1, we start with learning RL concepts by manually coding the RL problem. Later we see how the same thing can be done by using functions available in Reinforcement Learning Toolbox.

In Stage 2, we deal with complex environments and learn how Deep Learning agents are modeled and trained. Additionally, we see how to custom-build an environment in MATLAB.

In Stage 3, we introduce Simulink. We develop environments using Simulink RL blocks.

In Stage 4 brings us to additional environments of Mechanical and Industrial Engineering problems, that we will build using the concepts taught before.