From e7d8a780fbb641a340dd3a9b083bbccf8fd68ef3 Mon Sep 17 00:00:00 2001
From: Thomas Simonini <simonini.thomas.pro@gmail.com>
Date: Fri, 16 Dec 2022 08:49:52 +0100
Subject: [PATCH] Update Unit 3

---
 notebooks/unit3/unit3.ipynb | 34 ++++++++++++++++++++++++----------
 1 file changed, 24 insertions(+), 10 deletions(-)

diff --git a/notebooks/unit3/unit3.ipynb b/notebooks/unit3/unit3.ipynb
index 019653e..60efd9f 100644
--- a/notebooks/unit3/unit3.ipynb
+++ b/notebooks/unit3/unit3.ipynb
@@ -1,5 +1,15 @@
 {
   "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/huggingface/deep-rl-class/blob/ThomasSimonini%2FUnit3/notebooks/unit3/unit3.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -32,15 +42,12 @@
     {
       "cell_type": "markdown",
       "source": [
-        "TODO: ADD TEXT LIVE INFO\n",
+        "### 🎮 Environments: \n",
         "\n",
-        "TODO: ADD IF YOU HAVE QUESTIONS\n",
-        "\n",
-        "\n",
-        "###🎮 Environments: \n",
         "- SpacesInvadersNoFrameskip-v4 \n",
         "\n",
-        "###📚 RL-Library: \n",
+        "### 📚 RL-Library: \n",
+        "\n",
         "- [RL-Baselines3-Zoo](https://github.com/DLR-RM/rl-baselines3-zoo)"
       ],
       "metadata": {
@@ -100,7 +107,7 @@
         "## Prerequisites 🏗️\n",
         "Before diving into the notebook, you need to:\n",
         "\n",
-        "🔲 📚 **Study Deep Q-Learning by reading Unit 3**  🤗 ADD LINK "
+        "🔲 📚 **[Study Deep Q-Learning by reading Unit 3](https://huggingface.co/deep-rl-course/unit3/introduction)**  🤗 "
       ]
     },
     {
@@ -118,7 +125,13 @@
         "id": "QR0jZtYreSI5"
       },
       "source": [
-        "# Let's train a Deep Q-Learning agent playing Atari' Space Invaders 👾 and upload it to the Hub."
+        "# Let's train a Deep Q-Learning agent playing Atari' Space Invaders 👾 and upload it to the Hub.\n",
+        "\n",
+        "To validate this hands-on for the certification process, you need to push your trained model to the Hub and **get a result of >= 500**.\n",
+        "\n",
+        "To find your result, go to the leaderboard and find your model, **the result = mean_reward - std of reward**\n",
+        "\n",
+        "For more information about the certification process, check this section 👉 https://huggingface.co/deep-rl-course/en/unit0/introduction#certification-process"
       ]
     },
     {
@@ -719,7 +732,7 @@
     {
       "cell_type": "markdown",
       "source": [
-        "See you on [Bonus unit 2](https://github.com/huggingface/deep-rl-class/tree/main/unit2#unit-2-introduction-to-q-learning)! 🔥 TODO CHANGE LINK"
+        "See you on Bonus unit 2! 🔥 "
       ],
       "metadata": {
         "id": "Kc3udPT-RcXc"
@@ -738,7 +751,8 @@
   "metadata": {
     "colab": {
       "private_outputs": true,
-      "provenance": []
+      "provenance": [],
+      "include_colab_link": true
     },
     "kernelspec": {
       "display_name": "Python 3 (ipykernel)",