Deep RL Course documentation

Introduction to Deep Reinforcement Learning

Deep RL Course

Unit 0. Welcome to the course

Unit 1. Introduction to Deep Reinforcement Learning

Introduction What is Reinforcement Learning? The Reinforcement Learning Framework The type of tasks The Exploration/ Exploitation tradeoff The two main approaches for solving RL problems The “Deep” in Deep Reinforcement Learning Summary Glossary Hands-on Quiz Conclusion Additional Readings

Bonus Unit 1. Introduction to Deep Reinforcement Learning with Huggy

Live 1. How the course work, Q&A, and playing with Huggy

Unit 2. Introduction to Q-Learning

Unit 3. Deep Q-Learning with Atari Games

Bonus Unit 2. Automatic Hyperparameter Tuning with Optuna

Unit 4. Policy Gradient with PyTorch

Unit 5. Introduction to Unity ML-Agents

Unit 6. Actor Critic methods with Robotics environments

Unit 7. Introduction to Multi-Agents and AI vs AI

Unit 8. Part 1 Proximal Policy Optimization (PPO)

Unit 8. Part 2 Proximal Policy Optimization (PPO) with Doom

Bonus Unit 3. Advanced Topics in Reinforcement Learning

Certification and congratulations

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Introduction to Deep Reinforcement Learning

Unit 1 thumbnail

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.

LunarLander

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! 🚀

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