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Introduction to Deep Reinforcement Learning

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

Deep RL is a type of Machine Learning where an agent learns how to behave in an environment by performing actions and seeing the results.

In this first unit, you’ll learn the foundations of Deep Reinforcement Learning.

Then, you’ll train your Deep Reinforcement Learning agent, a lunar lander to land correctly on the Moon using Stable-Baselines3 , a Deep Reinforcement Learning library.

And finally, you’ll upload this trained agent to the Hugging Face Hub 🤗, a free, open platform where people can share ML models, datasets, and demos.

It’s essential to master these elements before diving into implementing Deep Reinforcement Learning agents. The goal of this chapter is to give you solid foundations.

After this unit, in a bonus unit, you’ll be able to train Huggy the Dog 🐶 to fetch the stick and play with him 🤗.

So let’s get started! 🚀

Update on GitHub