Welcome to the đŸ€— Deep Reinforcement Learning Course

Deep RL Course thumbnail

Welcome to the most fascinating topic in Artificial Intelligence: Deep Reinforcement Learning.

This course will teach you about Deep Reinforcement Learning from beginner to expert. It’s completely free and open-source!

In this introduction unit you’ll:

Let’s get started!

What to expect?

In this course, you will:

And more!

At the end of this course, you’ll get a solid foundation from the basics to the SOTA (state-of-the-art) methods.

You can find the syllabus on our website 👉 here

Don’t forget to sign up to the course (we are collecting your email to be able to send you the links when each Unit is published and give you information about the challenges and updates).

Sign up 👉 here

What does the course look like?

The course is composed of:

Two paths: choose your own adventure

Two paths

You can choose to follow this course either:

Both paths are completely free. Whatever path you choose, we advise you to follow the recommended pace to enjoy the course and challenges with your fellow classmates. You don’t need to tell us which path you choose. At the end of March, when we verify the assignments if you get more than 80% of the assignments done, you’ll get a certificate.

The Certification Process

The certification process is completely free:

Course certification

How to get most of the course?

To get most of the course, we have some advice:

  1. Join or create study groups in Discord : studying in groups is always easier. To do that, you need to join our discord server. If you're new to Discord, no worries! We have some tools that will help you learn about it.
  2. Do the quizzes and assignments: the best way to learn is to do and test yourself.
  3. Define a schedule to stay in sync: you can use our recommended pace schedule below or create yours.
Course advice

What tools do I need?

You need only 3 things:

Course tools needed

What is the publishing schedule?

We publish a new unit every Monday (except Monday, the 26th of December).

Schedule 1 Schedule 2

What is the recommended pace?

We defined a planning that you can follow to keep up the pace of the course.

Course advice Course advice

Each chapter in this course is designed to be completed in 1 week, with approximately 3-4 hours of work per week. However, you can take as much time as necessary to complete the course. If you want to dive into a topic more in-depth, we’ll provide additional resources to help you achieve that.

Who are we

About the author:

About the team:

When do the challenges start?

In this new version of the course, you have two types of challenges:

Challenges

These AI vs.AI challenges will be announced later in December.

I found a bug, or I want to improve the course

Contributions are welcomed đŸ€—

I still have questions

In that case, check our FAQ. And if the question is not in it, ask your question in our discord server #rl-discussions.