diff --git a/units/en/unit1/rl-framework.mdx b/units/en/unit1/rl-framework.mdx
index b6a01a1..b8e50d9 100644
--- a/units/en/unit1/rl-framework.mdx
+++ b/units/en/unit1/rl-framework.mdx
@@ -14,7 +14,7 @@ To understand the RL process, let’s imagine an agent learning to play a platfo
 
 \$\sqrt{2}\$
 
-- Our Agent receives **state  $S_0$** from the **Environment** — we receive the first frame of our game (Environment).
+- Our Agent receives **state  \\(S_0\\)** from the **Environment** — we receive the first frame of our game (Environment).
 - Based on that **state \\(S_0\\),** the Agent takes **action \\(A_0\\)** — our Agent will move to the right.
 - Environment goes to a **new** **state \\(S_1\\)** — new frame.
 - The environment gives some **reward \\(R_1\\)** to the Agent — we’re not dead *(Positive Reward +1)*.