diff --git a/examples/training_example.py b/examples/training_example.py
index 521cca8c786ca28c40460da95a6379a5962705b2..1eb8d03fe3a4f927888547bf9160a9730d69e294 100644
--- a/examples/training_example.py
+++ b/examples/training_example.py
@@ -10,7 +10,6 @@ np.random.seed(1)
 
 # Use the complex_rail_generator to generate feasible network configurations with corresponding tasks
 # Training on simple small tasks is the best way to get familiar with the environment
-#
 
 TreeObservation = TreeObsForRailEnv(max_depth=2, predictor=ShortestPathPredictorForRailEnv())
 LocalGridObs = LocalObsForRailEnv(view_height=10, view_width=2, center=2)