diff --git a/README.md b/README.md
index 2ada376..f8766d3 100644
--- a/README.md
+++ b/README.md
@@ -60,7 +60,7 @@ determined. We backtract over all the states and moves to update the Q-table,
 given the appropriate reward for each player.
 Since the learning is episodic it can only be done at the end.
 
-The learning rate α is set to `1` because the game if fully
+The learning rate α is set to `1` because the game is fully
 deterministic. 
 
 We use an ε-greedy (expentionnally decreasing) strategy for