# Conclusion [[conclusion]]

Congrats on finishing this chapter! There was a lot of information. And congrats on finishing the tutorial. You’ve just trained your first Deep Q-Learning agent and shared it on the Hub 🥳.

Take time to really grasp the material before continuing.

Don't hesitate to train your agent in other environments (Pong, Seaquest, QBert, Ms Pac Man). The **best way to learn is to try things on your own!**

<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit4/atari-envs.gif" alt="Environments"/>


In the next unit, **we're going to learn about Optuna**. One of the most critical tasks in Deep Reinforcement Learning is to find a good set of training hyperparameters. Optuna is a library that helps you to automate the search.

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](https://forms.gle/BzKXWzLAGZESGNaE9)

### Keep Learning, stay awesome 🤗