From 2db3b14f4a598ac8a133990a430db2c72c7ffd6b Mon Sep 17 00:00:00 2001
From: Alessandro Palmas <alessandropalmas.mail@gmail.com>
Date: Fri, 1 Mar 2024 23:32:13 -0500
Subject: [PATCH] Update diambra arena image

---
 units/en/unitbonus3/envs-to-try.mdx | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/units/en/unitbonus3/envs-to-try.mdx b/units/en/unitbonus3/envs-to-try.mdx
index 3e33ccc..2d10c81 100644
--- a/units/en/unitbonus3/envs-to-try.mdx
+++ b/units/en/unitbonus3/envs-to-try.mdx
@@ -4,7 +4,7 @@ Here we provide a list of interesting environments you can try to train your age
 
 ## DIAMBRA Arena
 
-<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit12/minerl.jpg" alt="diambraArena"/>
+<img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit12/diambraarena.png" alt="diambraArena"/>
 
 
 DIAMBRA Arena is a software package featuring a collection of high-quality environments for Reinforcement Learning research and experimentation. It provides a standard interface to popular arcade emulated video games, offering a Python API fully compliant with OpenAI Gym/Gymnasium format, that makes its adoption smooth and straightforward.