The computer player was trained to use more

effective strategies.

What I changed
I replaced the random strategy class with the lookahead strategy class.

Why I changed it
By replacing the classes, the computer player stopped responding randomly and instead used data provided to integrate
effective strategies.

Estimate for remaining time to finish assignment: [1-2 hours depending on peer assistance]

notes.md

@@ -21,15 +21,17 @@ A player can choose which action to play on a turn from within the TTTHumanPlaye
 For each of the following board states, if you are playing as X
 and it's your turn, which action would you take? Why?
 
-   | O | O       |   | O       | X |       X | O |   
+   | O | O       |   | O     x | X |       X | O |   
 ---+---+---   ---+---+---   ---+---+---   ---+---+---
- X | X |         | X |       X | O | O       |   |   
+ X | X | x       | X | x     X | O | O       | x |   
 ---+---+---   ---+---+---   ---+---+---   ---+---+---
    |   |         |   | O       |   |         |   |   
 
+For the first board, it is simple to choose 6 to win the game. The second board in also 6, but is done to prevent O from winning while setting up a potential win scenario. The third board simultaneously blocks O from making meaningful advances while setting up a guaranteed win scenario. The fourth board is setting up a potential win scenario in which O will be forced to block, leaving X free to set up a situation similar to the third board.
+
 ### 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 and future state demonstrates a 0 value, which implies that the game is as fair as possible since it means an equal number of wins for X or O.

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("Player 2")
 game = TTTGame()
 view = TTTView(player0, player1)
 

ttt/player.py

@@ -1,5 +1,5 @@
 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 +24,7 @@ class TTTComputerPlayer:
     def __init__(self, name):
         "Sets up the player."
         self.name = name
-        self.strategy = RandomStrategy(TTTGame())
+        self.strategy = LookaheadStrategy(TTTGame())
 
     def choose_action(self, state):
         "Chooses a random move from the moves available."