Organize repo

learn/README.md → app/ai/README.md

@@ -1,6 +1,8 @@
 
 # Tic Tac Toe (AI)
 
+> NOTE: this is currently a work in progress!
+
 The [computer players](/app/player.py) in the Tic Tac Toe app use a predefined algorithm to select the best move. Let's see if we can train machine learning models to play the game instead.
 
 ## Generating Moves Data
@@ -44,3 +46,11 @@ Exports a CSV file in the "data" directory (e.g "/data/moves/x_random_vs_o_rando
 |3      |4      |`--X-X--O-`  |`O`    |8       |1    |
 |3      |5      |`--X-X--OO`  |`X`    |5       |-1   |
 |3      |6      |`--X-XX-OO`  |`O`    |6       |1    |
+
+## Model Selection and Evaluation
+
+TBD
+
+## Model Training
+
+TBD

app/game.py

@@ -99,14 +99,8 @@ def play(self):
 
 
 
-
-
-
-
-
 if __name__ == "__main__":
 
-
     # PLAYER SELECTION
 
     x_strategy = input("SELECT X PLAYER TYPE ('HUMAN' / 'COMPUTER-EASY' / 'COMPUTER-HARD'): ") or "HUMAN"
@@ -117,7 +111,7 @@ def play(self):
         select_player(letter="O", strategy=o_strategy),
     ]
 
-    # PRELOAD SELECTION
+    # GAME PLAY
 
     preload = input("Would you like to use a pre-saved game state? (Y/N): ") or "N"
     if preload.upper() == "Y":