diff --git a/units/en/unit5/how-mlagents-works.mdx b/units/en/unit5/how-mlagents-works.mdx
index 12acede..f92054f 100644
--- a/units/en/unit5/how-mlagents-works.mdx
+++ b/units/en/unit5/how-mlagents-works.mdx
@@ -31,7 +31,7 @@ With Unity ML-Agents, you have six essential components:
 
 ## Inside the Learning Component [[inside-learning-component]]
 
-Inside the Learning Component, we have **three important elements**:
+Inside the Learning Component, we have **two important elements**:
 
 - The first is the *agent component*, the actor of the scene. We’ll **train the agent by optimizing its policy** (which will tell us what action to take in each state). The policy is called the *Brain*.
 - Finally, there is the *Academy*. This component **orchestrates agents and their decision-making processes**. Think of this Academy as a teacher who handles Python API requests.