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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

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Keep Learning, stay awesome 🤗

Update on GitHub