Save values to file

.gitignore

@@ -1 +1,2 @@
 __pycache__/
+values_*.json

machine_player.py

@@ -61,10 +61,11 @@ class MachinePlayer(APlayer):
         values = np.array([])
         # get possible move
         moves = self.get_potential_moves(state)
-        can_move = moves.size > 0
+        if moves.size == 0:
+            return state, False
+
         best_move = None
         best_value = -1
-        if can_move:
         for move in moves:
             # create hypothetical next state
             state_next = self.state_from_move(state.copy(), move)
@@ -106,7 +107,7 @@ class MachinePlayer(APlayer):
             if self.with_debug:
                 print(f"{self.mark}: Learned {d:0.3f}")
 
-        return self.state, can_move
+        return self.state, True
 
     def state_from_move(self, state: np.array, field):
         state.reshape(state.size)[field] = self.mark

tic_tac_toe.py

@@ -2,11 +2,13 @@ import numpy as np
 from helper import create_empty_state, to_state_string
 from machine_player import MachinePlayer
 from player_provider import PlayerProvider
+import json
 
 float_formatter = "{:.3f}".format
 np.set_printoptions(formatter={'float_kind': float_formatter})
 
 
+
 def play(player_provider: PlayerProvider, k_max=10000, with_print=False):
     for k in range(0, k_max):
         players = player_provider.choose()
@@ -48,8 +50,14 @@ def play(player_provider: PlayerProvider, k_max=10000, with_print=False):
                 move += 1
 
 
-px = MachinePlayer(mark='X', with_debug=False)
+with open("values_x.json", "r") as fp:
-po = MachinePlayer(mark='O', with_debug=False)
+    x_values = json.load(fp)
+
+with open("values_o.json", "r") as fp:
+    o_values = json.load(fp)
+
+px = MachinePlayer(mark='X', with_debug=False, values=x_values)
+po = MachinePlayer(mark='O', with_debug=False, values=o_values)
 
 do_training = 1
 if do_training:
@@ -59,4 +67,9 @@ if do_training:
 players = PlayerProvider(MachinePlayer(mark='X', with_debug=True, values=px.values), MachinePlayer(mark='O', with_debug=True, values=po.values))
 play(players, 1000, True)
 
-px.print_state_table()
+# Convert and write JSON object to file
+with open("values_x.json", "w") as fp:
+    json.dump(px.values, fp, indent=0)
+
+with open("values_o.json", "w") as fp:
+    json.dump(po.values, fp, indent=0)