From bcbc168d6ba914583c81a627ff50c24d44dba36b Mon Sep 17 00:00:00 2001
From: Thomas Simonini <simonini.thomas.pro@gmail.com>
Date: Mon, 19 Dec 2022 12:44:34 +0100
Subject: [PATCH] Update colab

---
 notebooks/unit3/unit3.ipynb | 23 ++++-------------------
 1 file changed, 4 insertions(+), 19 deletions(-)

diff --git a/notebooks/unit3/unit3.ipynb b/notebooks/unit3/unit3.ipynb
index 7df2003..3ae8b17 100644
--- a/notebooks/unit3/unit3.ipynb
+++ b/notebooks/unit3/unit3.ipynb
@@ -251,10 +251,7 @@
       },
       "source": [
         "## Install dependencies 🔽\n",
-        "We can now install the dependencies RL-Baselines3 Zoo needs (this can take 5min ⏲)\n",
-        "\n",
-        "But we'll also install:\n",
-        "- `huggingface_sb3`: Additional code for Stable-baselines3 to load and upload models from the Hugging Face 🤗 Hub."
+        "We can now install the dependencies RL-Baselines3 Zoo needs (this can take 5min ⏲)"
       ]
     },
     {
@@ -279,18 +276,6 @@
         "!pip install -r requirements.txt"
       ]
     },
-    {
-      "cell_type": "code",
-      "execution_count": null,
-      "metadata": {
-        "id": "RLRGKFR39l9s"
-      },
-      "outputs": [],
-      "source": [
-        "%%capture\n",
-        "!pip install huggingface_sb3"
-      ]
-    },
     {
       "cell_type": "markdown",
       "metadata": {
@@ -382,7 +367,7 @@
       },
       "source": [
         "## Let's evaluate our agent 👀\n",
-        "- RL-Baselines3-Zoo provides `enjoy.py` to evaluate our agent.\n",
+        "- RL-Baselines3-Zoo provides `enjoy.py`, a python script to evaluate our agent. In most RL libraries, we call the evaluation script `enjoy.py`.\n",
         "- Let's evaluate it for 5000 timesteps 🔥"
       ]
     },
@@ -441,7 +426,7 @@
         "- You can **showcase our work** 🔥\n",
         "- You can **visualize your agent playing** 👀\n",
         "- You can **share with the community an agent that others can use** 💾\n",
-        "- You can **access a leaderboard 🏆 to see how well your agent is performing compared to your classmates** 👉  https://huggingface.co/spaces/chrisjay/Deep-Reinforcement-Learning-Leaderboard"
+        "- You can **access a leaderboard 🏆 to see how well your agent is performing compared to your classmates** 👉  https://huggingface.co/spaces/huggingface-projects/Deep-Reinforcement-Learning-Leaderboard"
       ]
     },
     {
@@ -676,7 +661,7 @@
         "## Some additional challenges 🏆\n",
         "The best way to learn **is to try things by your own**!\n",
         "\n",
-        "In the [Leaderboard](https://huggingface.co/spaces/chrisjay/Deep-Reinforcement-Learning-Leaderboard) you will find your agents. Can you get to the top?\n",
+        "In the [Leaderboard](https://huggingface.co/spaces/huggingface-projects/Deep-Reinforcement-Learning-Leaderboard) you will find your agents. Can you get to the top?\n",
         "\n",
         "Here's a list of environments you can try to train your agent with:\n",
         "- BeamRiderNoFrameskip-v4\n",