diff --git a/units/en/unit2/glossary.mdx b/units/en/unit2/glossary.mdx
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--- a/units/en/unit2/glossary.mdx
+++ b/units/en/unit2/glossary.mdx
@@ -34,7 +34,7 @@ This is a community-created glossary. Contributions are welcomed!
 
 ### Monte Carlo and Temporal Difference learning strategies
 
-- **Monte Carlo (MC):** Learning at the end of the episode. With Monte Carlo, we wait until the episode ends and then we update the value functin (or policy function) from a complete episode.
+- **Monte Carlo (MC):** Learning at the end of the episode. With Monte Carlo, we wait until the episode ends and then we update the value function (or policy function) from a complete episode.
 
 - **Temporal Difference (TD):** Learning at each step. With Temporal Difference Learning, we update the value function (or policy function) at each step without requiring a complete episode.