Merge pull request #262 from huggingface/ThomasSimoniniMarchUpdate

March 2023 Update

notebooks/unit3/unit3.ipynb

@@ -289,6 +289,7 @@
       },
       "outputs": [],
       "source": [
+        "pip install setuptools==65.5.0\n",
         "!pip install -r requirements.txt\n",
         "# Since colab uses Python 3.9 we need to add this installation\n",
         "!pip install gym[atari,accept-rom-license]==0.21.0"

units/en/unit0/introduction.mdx

@@ -52,21 +52,21 @@ The course is composed of:
 
 You can choose to follow this course either:
 
-- *To get a certificate of completion*: you need to complete 80% of the assignments before the end of April 2023.
-- *To get a certificate of honors*: you need to complete 100% of the assignments before the end of April 2023.
+- *To get a certificate of completion*: you need to complete 80% of the assignments before the end of June 2023.
+- *To get a certificate of honors*: you need to complete 100% of the assignments before the end of June 2023.
 - *As a simple audit*: you can participate in all challenges and do assignments if you want, but you have no deadlines.
 
 Both paths **are completely free**.
 Whatever path you choose, we advise you **to follow the recommended pace to enjoy the course and challenges with your fellow classmates.**
 
-You don't need to tell us which path you choose. At the end of April, when we will verify the assignments **if you get more than 80% of the assignments done, you'll get a certificate.**
+You don't need to tell us which path you choose. **If you get more than 80% of the assignments done, you'll get a certificate.**
 
 ## The Certification Process [[certification-process]]
 
 The certification process is **completely free**:
 
-- *To get a certificate of completion*: you need to complete 80% of the assignments before the end of April 2023.
-- *To get a certificate of honors*: you need to complete 100% of the assignments before the end of April 2023.
+- *To get a certificate of completion*: you need to complete 80% of the assignments before the end of June 2023.
+- *To get a certificate of honors*: you need to complete 100% of the assignments before the end of June 2023.
 
 <img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit0/certification.jpg" alt="Course certification" width="100%"/>
 

units/en/unit3/hands-on.mdx

@@ -127,7 +127,10 @@ cd /content/rl-baselines3-zoo/
 ```
 
 ```bash
+pip install setuptools==65.5.0
 pip install -r requirements.txt
+# Since colab uses Python 3.9 we need to add this installation
+pip install gym[atari,accept-rom-license]==0.21.0
 ```
 
 ## Train our Deep Q-Learning Agent to Play Space Invaders 👾

units/en/unit7/self-play.mdx

@@ -31,7 +31,7 @@ We do the same with self-play:
 - We **start with a copy of our agent as an opponent** this way, this opponent is on a similar level.
 - We **learn from it**, and when we acquire some skills, we **update our opponent with a more recent copy of our training policy**.
 
-The theory behind self-play is not something new. It was already used by Arthur Samuel’s checker player system in the fifties and by Gerald Tesauro’s TD-Gammon in 1955. If you want to learn more about the history of self-play [check this very good blogpost by Andrew Cohen](https://blog.unity.com/technology/training-intelligent-adversaries-using-self-play-with-ml-agents)
+The theory behind self-play is not something new. It was already used by Arthur Samuel’s checker player system in the fifties and by Gerald Tesauro’s TD-Gammon in 1995. If you want to learn more about the history of self-play [check this very good blogpost by Andrew Cohen](https://blog.unity.com/technology/training-intelligent-adversaries-using-self-play-with-ml-agents)
 
 ## Self-Play in MLAgents