Deep RL Course documentation

Conclusion

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

Join the Hugging Face community

and get access to the augmented documentation experience

Collaborate on models, datasets and Spaces

Faster examples with accelerated inference

Switch between documentation themes

to get started

Conclusion

Congrats on finishing this unit! That was the biggest one, and there was a lot of information. And congrats on finishing the tutorial. You’ve just trained your first Deep RL agents and shared them with the community! 🥳

It’s normal if you still feel confused by some of these elements. This was the same for me and for all people who studied RL.

Take time to really grasp the material before continuing. It’s important to master these elements and have a solid foundation before entering the fun part.

Naturally, during the course, we’re going to use and explain these terms again, but it’s better to understand them before diving into the next units.

In the next (bonus) unit, we’re going to reinforce what we just learned by training Huggy the Dog to fetch a stick.

You will then be able to play with him 🤗.

Huggy

Finally, we would love to hear what you think of the course and how we can improve it. If you have some feedback then, please 👉 fill this form

Keep Learning, stay awesome 🤗

←Quiz Additional Readings→