diff --git a/notes.md b/notes.md
index 75c8ae2..22fac4f 100644
--- a/notes.md
+++ b/notes.md
@@ -37,4 +37,5 @@ For the first one, I would put an X on the rightmost cell in the middle row. Thi
 You can get the inital game state using game.get_initial_state(). 
 What is the current and future reward for this state? What does this mean? 
 
+The current and future reward for this state is 1. This means the state favors player X assuming both players continue using the same look ahead strategy.
 
diff --git a/play_ttt.py b/play_ttt.py
index ef5530a..1b78ace 100644
--- a/play_ttt.py
+++ b/play_ttt.py
@@ -2,8 +2,8 @@ from ttt.game import TTTGame
 from ttt.view import TTTView
 from ttt.player import TTTHumanPlayer, TTTComputerPlayer
 
-player0 = TTTHumanPlayer("Player 1")
-player1 = TTTHumanPlayer("Player 2")
+player0 = TTTHumanPlayer("Pleayer 1")
+player1 = TTTComputerPlayer("Robot 1")
 game = TTTGame()
 view = TTTView(player0, player1)
 
diff --git a/ttt/player.py b/ttt/player.py
index bfbbe15..e955b98 100644
--- a/ttt/player.py
+++ b/ttt/player.py
@@ -1,4 +1,5 @@
 from click import Choice, prompt
+from strategy.lookahead_strategy import LookaheadStrategy
 from strategy.random_strategy import RandomStrategy
 from ttt.game import TTTGame
 import random
@@ -24,7 +25,7 @@ class TTTComputerPlayer:
     def __init__(self, name):
         "Sets up the player."
         self.name = name
-        self.strategy = RandomStrategy(TTTGame())
+        self.strategy = LookaheadStrategy(TTTGame(),deterministic=False)
 
     def choose_action(self, state):
         "Chooses a random move from the moves available."