diff --git a/units/en/unit2/two-types-value-based-methods.mdx b/units/en/unit2/two-types-value-based-methods.mdx
index 5cf12da..78b9195 100644
--- a/units/en/unit2/two-types-value-based-methods.mdx
+++ b/units/en/unit2/two-types-value-based-methods.mdx
@@ -12,7 +12,7 @@ But what does it mean to act according to our policy? After all, we don't have a
 
 Remember that the goal of an **RL agent is to have an optimal policy π.**
 
-To find it, we learned that there are two different methods:
+To find the optimal policy, we learned about two different methods:
 
 - *Policy-based methods:* **Directly train the policy** to select what action to take given a state (or a probability distribution over actions at that state). In this case, we **don't have a value function.**