From 90584d9b5ea8dabddc86e9bb2199327ceca0d604 Mon Sep 17 00:00:00 2001 From: Thomas Simonini Date: Tue, 2 May 2023 11:47:57 +0200 Subject: [PATCH] Add syllabus --- units/en/unit0/introduction.mdx | 8 ++++++++ 1 file changed, 8 insertions(+) diff --git a/units/en/unit0/introduction.mdx b/units/en/unit0/introduction.mdx index 20e409d..cf251a8 100644 --- a/units/en/unit0/introduction.mdx +++ b/units/en/unit0/introduction.mdx @@ -37,12 +37,20 @@ Sign up 👉 here ## What does the course look like? [[course-look-like]] + The course is composed of: - *A theory part*: where you learn a **concept in theory**. - *A hands-on*: where you’ll learn **to use famous Deep RL libraries** to train your agents in unique environments. These hands-on will be **Google Colab notebooks with companion tutorial videos** if you prefer learning with video format! - *Challenges*: you'll get to put your agent to compete against other agents in different challenges. There will also be [a leaderboard](https://huggingface.co/spaces/huggingface-projects/Deep-Reinforcement-Learning-Leaderboard) for you to compare the agents' performance. +## What's the syllabus? [[syllabus]] + +This is the course's syllabus: + +Syllabus Part 1 +Syllabus Part 2 + ## Two paths: choose your own adventure [[two-paths]]