From c91e6dd546d4a4ae67c5f66fca6650cfff5c0f9e Mon Sep 17 00:00:00 2001
From: Thomas Simonini <simonini.thomas.pro@gmail.com>
Date: Fri, 17 Feb 2023 15:39:25 +0100
Subject: [PATCH] Create introduction-sf

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+# Introduction to PPO with Sample-Factory
+
+<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit9/thumbnail2.png" alt="thumbnail"/>
+
+In this second part of Unit 8, we'll get deeper into PPO optimization by using [Sample-Factory](https://samplefactory.dev/), an asynchronous implementation of the PPO algorithm, to train our agent playing [vizdoom](https://vizdoom.cs.put.edu.pl/) (an open source version of Doom).
+During the notebook, you'll train your agent to play Health Gathering level, where our agent needs to collect health packs to avoid dying. And after that, you'll be able to train your agent to play more complex versions of the levels, such as Deathmatch.
+
+<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit10/environments.png" alt="Environment"/>
+
+Sounds exciting? Let's get started! 🚀