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Update units/en/unit2/hands-on.mdx

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Co-authored-by: Omar Sanseviero <osanseviero@gmail.com>
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Thomas Simonini
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@@ -14,7 +14,7 @@ Now that we studied the Q-Learning algorithm, let's implement it from scratch an
<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit3/envs.gif" alt="Environments"/>
Thanks to a [leaderboard](https://huggingface.co/spaces/huggingface-projects/Deep-Reinforcement-Learning-Leaderboard), you'll be able to compare your results with other classmates and exchange the best practices to improve your agent's scores Who will win the challenge for Unit 2?
Thanks to a [leaderboard](https://huggingface.co/spaces/huggingface-projects/Deep-Reinforcement-Learning-Leaderboard), you'll be able to compare your results with other classmates and exchange the best practices to improve your agent's scores. Who will win the challenge for Unit 2?
**To start the hands-on click on Open In Colab button** 👇 :