Checkpoint 3

As I worked through this lab and the video, I became more aware of
the thought process that goes into tic-tac-toe. However, it was not
until I saw all the reward possibilities for the initial state of the
board, and then made the computer play itself that I appreciated how
complex the game is and how many possibilities there are on a relatively
simple board. I am also wondering when the computer plays itself,
does the game always end in a tie? I suppose I could write a program for
this that plays the game a set number of times and makes a list of the
outcomes and then counts the wins, losses, and ties for a particular
player.

notes.md

@@ -30,10 +30,21 @@ and it's your turn, which action would you take? Why?
 ---+---+---   ---+---+---   ---+---+---   ---+---+---
    |   |         |   | O       |   |         |   |   
 
+View 1- Put x in Space 5, to win the game
+
+View 2- Put x in Space 5, to precent the O's from winning
+
+View 3- Put the x in Space 0, so there are then 2 possible ways to get 3 in a row on your next turn (space 3 or space 6)
+
+View 4- Put the x in space 4, to block o from being able to get 3 in a row down the middle.
 
 ### 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? 
 
+If state is set to game.get_initial_state(), there is a very large (but nonetheless finite), list of possible game outcomes that get printed out in the terminal. This means that there are many possibilites for either x to win, or o to win, or for the game to end in a tie.
+I'm not sure if there is a way to see which reward 0,1,or -1 is more likely. For example is there a way to see if the person who goes first has more paths to winning- I would think so, but it would be nice to know how much more likely!
+
+
 

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")
+player0 = TTTComputerPlayer("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
 
@@ -24,10 +24,10 @@ 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."
+        "Chooses the best move from the moves available."
         action = self.strategy.choose_action(state)
         print(f"{self.name} chooses {action}.")
         return action