Completed the tasks for checkpoint 3

What I changed
Answered the questions and gave the computer a better strategy.

Why I changed it
I answered the questions to the best of my abilitiy. I gave the computer a better strategy as instructed.

Estimate for remaining time to finish assignment: 30 minutes

notes.md

@@ -27,9 +27,16 @@ and it's your turn, which action would you take? Why?
 ---+---+---   ---+---+---   ---+---+---   ---+---+---
    |   |         |   | O       |   |         |   |   
 
+For the first board I would play 5 because I would win.
+For the second board I would play 5 because I would block O from winning.
+For the third board I would play 0 because I would be guaranteed a board where I could always win next turn.
+For the third board I would play 4 because it gets me closer to winning and blocks O from getting closer
+
 ### Initial game state
 
 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 reward state is 0, which means the game is either incomplete or it has ended in a draw. In this case, the game is incomplete.
 
+The future reward state is 0, which means if both players play optimally, the game will end in a draw.

play_ttt.py

@@ -3,7 +3,7 @@ from ttt.view import TTTView
 from ttt.player import TTTHumanPlayer, TTTComputerPlayer
 
 player0 = TTTHumanPlayer("Player 1")
-player1 = TTTHumanPlayer("Player 2")
+player1 = TTTComputerPlayer("Robot")
 game = TTTGame()
 view = TTTView(player0, player1)
 

ttt/player.py

@@ -1,5 +1,6 @@
 from click import Choice, prompt
 from strategy.random_strategy import RandomStrategy
+from strategy.lookahead_strategy import LookaheadStrategy
 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."