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Update units/en/unit0/introduction.mdx

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Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
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Thomas Simonini
2022-12-03 10:03:11 +01:00
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@@ -25,7 +25,7 @@ In this course, you will:
- 📖 Study Deep Reinforcement Learning in **theory and practice.**
- 🧑‍💻 Learn to **use famous Deep RL libraries** such as Stable Baselines3, RL Baselines3 Zoo, Sample Factory and CleanRL.
- 🤖 **Train agents in unique environments** such as SnowballFight, Huggy the Doggo 🐶, MineRL (Minecraft ⛏️), VizDoom (Doom) and classical ones such as Space Invaders and PyBullet.
- 💾 Publish your **trained agents in one line of code to the Hub**. But also download powerful agents from the community.
- 💾 Publish your **trained agents with one line of code to the Hub**. But also download powerful agents from the community.
- 🏆 Participate in challenges where you will **evaluate your agents against other teams. But also play against AI you'll train.**
And more!