From 917b2adabe35a10c1c6bf48a6bb4d3e8b7a5bdeb Mon Sep 17 00:00:00 2001
From: simoninithomas <simonini_thomas@outlook.fr>
Date: Tue, 31 Jan 2023 16:02:26 +0100
Subject: [PATCH] Update bug

---
 units/en/unit7/introduction-to-marl.mdx | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/units/en/unit7/introduction-to-marl.mdx b/units/en/unit7/introduction-to-marl.mdx
index 423c3a0..de74679 100644
--- a/units/en/unit7/introduction-to-marl.mdx
+++ b/units/en/unit7/introduction-to-marl.mdx
@@ -18,6 +18,7 @@ For instance, you can think of a warehouse where **multiple robots need to navig
 <figure>
 <img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit10/warehouse.jpg" alt="Warehouse"/>
 <figcaption> <a href="[https://www.freepik.com/free-vector/robots-warehouse-interior-automated-machines_32117680.htm#query=warehouse robot&position=17&from_view=keyword](https://www.freepik.com/free-vector/robots-warehouse-interior-automated-machines_32117680.htm#query=warehouse%20robot&position=17&from_view=keyword)">Image by upklyak</a> on Freepik </figcaption>
+</figure>
 
 Or a road with **several autonomous vehicles**.
 
@@ -48,10 +49,7 @@ For example, in a game of tennis, **each agent wants to beat the other agent**.
 
 <figure>
 <img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit10/soccertwos.gif" alt="SoccerTwos"/>
-
+<figcaption>This environment was made by the <a href="https://github.com/Unity-Technologies/ml-agents">Unity MLAgents Team</a></figcaption>
 </figure>
 
-<figcaption>This environment was made by the <a href="https://github.com/Unity-Technologies/ml-agents">Unity MLAgents Team</a></figcaption>
-
-
 So now we can ask how we design these multi-agent systems. Said differently, **how can we train agents in a multi-agents setting** ?