diff --git a/units/en/unit2/bellman-equation.mdx b/units/en/unit2/bellman-equation.mdx
index 99d753a..6979d23 100644
--- a/units/en/unit2/bellman-equation.mdx
+++ b/units/en/unit2/bellman-equation.mdx
@@ -18,7 +18,7 @@ Then, to calculate the \\(V(S_{t+1})\\), we need to calculate the return startin
 
 <figure>
   <img src="https://huggingface.co/datasets/huggingface-deep-rl-course/course-images/resolve/main/en/unit3/bellman3.jpg" alt="Bellman equation"/>
-  <figcaption>To calculate the value of State 2: the sum of rewards **if the agent started in that state**, and then followed the **policy for all the time steps.**</figcaption>
+  <figcaption>To calculate the value of State 2: the sum of rewards <b>if the agent started in that state</b>, and then followed the <b>policy for all the time steps.</b></figcaption>
 </figure>
 
 So you may have noticed, we're repeating the computation of the value of different states, which can be tedious if you need to do it for each state value or state-action value.