From c0c4f9b56584b6d744493c34641c687b55f15fc9 Mon Sep 17 00:00:00 2001 From: simoninithomas Date: Mon, 2 Jan 2023 21:52:41 +0100 Subject: [PATCH] Add conclusion --- units/en/unit4/conclusion.mdx | 21 +++++++++------------ 1 file changed, 9 insertions(+), 12 deletions(-) diff --git a/units/en/unit4/conclusion.mdx b/units/en/unit4/conclusion.mdx index fe01003..a49ed5d 100644 --- a/units/en/unit4/conclusion.mdx +++ b/units/en/unit4/conclusion.mdx @@ -1,20 +1,17 @@ # Conclusion -Congrats on finishing this chapter! 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 🥳. +**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 🥳. -It's **normal if you still feel confused** with all these elements. **This was the same for me and for all people who studied RL.** +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)? -Take time to really grasp the material before continuing. +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.** -Don't hesitate to train your agent in other environments. The **best way to learn is to try things on your own!** +Sounds fun? See you next time! -We published additional readings in the syllabus if you want to go deeper 👉 **[https://github.com/huggingface/deep-rl-class/blob/main/unit5/README.md](https://github.com/huggingface/deep-rl-class/blob/main/unit5/README.md)** +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) -In the next unit, we’re going to learn about a combination of Policy-Based and value-based methods called Actor Critic Methods. - -And don't forget to share with your friends who want to learn 🤗! - -Finally, we want **to improve and update the course iteratively with your feedback**. If you have some, please fill this form 👉 **[https://forms.gle/3HgA7bEHwAmmLfwh9](https://forms.gle/3HgA7bEHwAmmLfwh9)** - -### **Keep learning, stay awesome 🤗,** +### Keep Learning, stay awesome 🤗