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Update units/en/unit0/introduction.mdx
Co-authored-by: Sayak Paul <spsayakpaul@gmail.com>
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@@ -44,7 +44,7 @@ The course is composed of:
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- *A theory part*: where you learn a **concept in theory (article)**.
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- *A hands-on*: with a **weekly live hands-on session** in ADD DATE every week at ADD TIME. where you'll learn to use famous Deep RL libraries such as Stable Baselines3, RL Baselines3 Zoo, and RLlib to train your agents in unique environments such as SnowballFight, Huggy the Doggo dog, and classical ones such as Space Invaders and PyBullet.
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We strongly advise you to participate to the live so that you can ask questions but if you can't participate in the live, the sessions are recorded and will be posted.
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We strongly advise you to participate in the live sessions so that you can ask questions. But if you can't participate in the live sessions, the sessions are recorded and will be posted to the course Discord server.
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- *Challenges* such AI vs. AI and leaderboard.
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