Deep RL Course documentation


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Congrats on finishing this chapter! There was a lot of information. And congrats on finishing the tutorials. You’ve just implemented your first RL agent from scratch and shared it on the Hub 🥳.

Implementing from scratch when you study a new architecture is important to understand how it works.

That’s normal if you still feel confused with all these elements. This was the same for me and for all people who studied RL.

Take time to really grasp the material before continuing.

In the next chapter, we’re going to dive deeper by studying our first Deep Reinforcement Learning algorithm based on Q-Learning: Deep Q-Learning. And you’ll train a DQN agent with RL-Baselines3 Zoo to play Atari Games.

Atari environments

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 🤗