deep_learning_grid_world_q_learning.py

Author: laiba-mazhar

deep_learning_grid_world_q_learning.py

@@ -28,7 +28,7 @@ def create_grid_world(ax):
     ax.set_ylim(0, 5)
     plt.gca().invert_yaxis()
 
-#``````````````````````````````````````````````````````````````` EPSILON `````````````````````````````````````````````````````````````
+#``````````````````````````````````````````````````````````````` EPSILON ````````````````````````````````````````````````````````````
 def epsilon_greedy(Q, state, epsilon):
     if random.uniform(0, 1) < epsilon:
         return random.choice([0, 1, 2, 3])