- added idea project

- improved formatting
- improved state print

.idea/.gitignore

@@ -0,0 +1,3 @@
+# Default ignored files
+/shelf/
+/workspace.xml

.idea/inspectionProfiles/profiles_settings.xml

@@ -0,0 +1,6 @@
+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/misc.xml

@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="Black">
+    <option name="sdkName" value="Python 3.12 (tic_tac_toe)" />
+  </component>
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.12 (tic_tac_toe)" project-jdk-type="Python SDK" />
+</project>

.idea/modules.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/tic_tac_toe.iml" filepath="$PROJECT_DIR$/.idea/tic_tac_toe.iml" />
+    </modules>
+  </component>
+</project>

.idea/tic_tac_toe.iml

@@ -0,0 +1,10 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$">
+      <excludeFolder url="file://$MODULE_DIR$/.venv" />
+    </content>
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/vcs.xml

@@ -0,0 +1,6 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="VcsDirectoryMappings">
+    <mapping directory="$PROJECT_DIR$" vcs="Git" />
+  </component>
+</project>

tic_tac_toe.py

@@ -1,6 +1,9 @@
 import numpy as np
 from numpy.random import uniform
 
+float_formatter = "{:.3f}".format
+np.set_printoptions(formatter={'float_kind':float_formatter})
+
 
 def softmax(values: np.array) -> np.array:
     result = values / sum(values)
@@ -13,17 +16,18 @@ def sample(values: np.array):
     probs = softmax(values + 1.0E-6)
     z = uniform()
     print(f"Probs={probs}")
-    print(f"Z={z}")
-    result = None
+    print(f"Z={z:.3f}")
+    index = None
     p_sum = 0
     for idx, p in enumerate(probs):
         p_sum += p
         if z <= p_sum:
-            result = idx
+            index = idx
             break
 
-    is_exploration = result != (len(probs) - 1)
-    return result, is_exploration
+    probs_max = np.max(probs)
+    is_exploration = probs[index] < probs_max
+    return index, is_exploration
 
 
 def test_sample():
@@ -37,15 +41,31 @@ def test_sample():
     print(c)
 
 
-def to_state_string(state):
-    state_str = ''
-    for i in range(0, 3):
-        for j in range(0, 3):
-            char = state[3*i+j]
+def to_state_string(state, state_nex=None):
+    sp = '      '
+    sp_arrow = '  =>  '
+    sp_ = [sp, sp_arrow, sp]
+
+    def col(str_in, state):
+        str_out = str_in
+        for c in range(0, 3):
+            char = state[3*r+c]
             if char == '-':
                 char = ' '
-            state_str += "|"+char
-        state_str += '|\x0A'
+            str_out += "|" + char
+        str_out += '|'
+        return str_out
+
+    state_str = ''
+    for r in range(0, 3):
+        state_str = col(state_str, state)
+
+        if state_nex is not None:
+            state_str += sp_[r]
+            state_str = col(state_str, state_nex)
+
+        if r != 2:
+            state_str += '\x0A'
 
     return state_str
 
@@ -93,7 +113,7 @@ class Player(object):
 
             index, is_exp = sample(values)
             field = moves[index]
-            print(f"{player.mark}: Chose {index}")
+            print(f"{player.mark}: Chose {index}, is_exp={is_exp}")
             state_next = self.state_from_move(state, field)
 
             # Learn
@@ -103,7 +123,7 @@ class Player(object):
                 d = max(0, v1-v0)
                 if d > 0:
                     self.set_value(0.1*d)
-                print(f"{player.mark}: Learned {d}")
+                print(f"{player.mark}: Learned {d:0.3f}")
 
             self.state_last = state_next
         return state_next, can_move
@@ -153,7 +173,7 @@ p_x = Player(mark='X')
 p_o = Player(mark='O')
 
 
-for k in range(0, 10000):
+for k in range(0, 1000):
     # Wer fängt an?
     if uniform() < 0.5:
         players = [p_x, p_o]
@@ -162,12 +182,14 @@ for k in range(0, 10000):
     state = "---------"
     move = 1
     run = True
-    last_state = None
     while run:
-        last_state = state
         for player in players:
-            print(to_state_string(state))
+            print(f"---------------------------------------------------")
+            print(f"- Game {k:06d}, Move {move} -----------------------------")
+            print(f"---------------------------------------------------")
+            last_state = state
             state, has_moved = player.move(state)
+            print(to_state_string(last_state, state))
 
             if not has_moved:
                 print(f"{player.mark}: No more moves")
@@ -175,12 +197,10 @@ for k in range(0, 10000):
             if player.has_won(state):
                 print(f"{player.mark}: Has won the game")
                 player.set_value(1.0)
-                print(to_state_string(state))
                 run = False
 
             if not run:
                 break
 
             move += 1
-    for player in players:
-        print(f"{player.mark}: Values: {player.values}")
+