# Conclusion


**Congrats on finishing this unit**! There was a lot of information.
And congrats on finishing the tutorial. You've just coded your first Deep Reinforcement Learning agent from scratch using PyTorch and shared it on the Hub 🥳.

Don't hesitate to iterate on this unit **by improving the implementation for more complex environments** (for instance, what about changing the network to a Convolutional Neural Network to handle
frames as observation)?

In the next unit, **we're going to learn more about Unity MLAgents**, by training agents in Unity environments. This way, you will be ready to participate in the **AI vs AI challenges where you'll train your agents
to compete against other agents in a snowball fight and a soccer game.**

Sound fun? See you next time!

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 🤗


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