dt

data.txt

@@ -0,0 +1,16 @@
+E: 0,1; A: 0.1; G: 0.9; 200/5000
+E: 0,1; A: 0.1; G: 0.9; 150/5000
+
+E: 0,5; A: 0.1; G: 0.9; 0.0034%
+E: 0,5; A: 0.1; G: 0.9; 0.002%
+
+E: 0,5; A: 0.5; G: 0.5; 0.0012%
+E: 0,5; A: 0.5; G: 0.5; 0.0002%
+E: 0,5; A: 0.5; G: 0.5; 0.001%
+
+E: 0,5; A: 0.3; G: 0.5; 0.0018%
+E: 0,5; A: 0.3; G: 0.5; 0.0022%
+E: 0,5; A: 0.3; G: 0.5; 0.0014%
+E: 0,5; A: 0.3; G: 0.5; 0.0016%
+E: 0,5; A: 0.3; G: 0.5; 0.0022%
+

game.py

@@ -168,7 +168,7 @@ def run_game(q_values, EPSILON, ALPHA, GAMMA):
 
         # Check for collisions (game over if ghost catches pacman)
         if pacman.x == ghost.x and pacman.y == ghost.y:
-            print("Game Over! The ghost caught Pacman.")
+            # print("Game Over! The ghost caught Pacman.")
             running = False
             reward = -10
 
@@ -178,7 +178,7 @@ def run_game(q_values, EPSILON, ALPHA, GAMMA):
 
         # Check if all cookies are eaten (game over)
         if all("." not in row for row in labyrinth):
-            print("You Win! Pacman ate all the cookies.")
+            # print("You Win! Pacman ate all the cookies.")
             reward = 10
             running = False
 
@@ -214,7 +214,7 @@ def run_game(q_values, EPSILON, ALPHA, GAMMA):
         # pygame.display.flip()
 
         # Cap the frame rate
-        clock.tick(10000)
+        clock.tick(1000000)
 
     pygame.quit()
 

main.py

@@ -1,13 +1,14 @@
 import matplotlib.pyplot as plt
+import pandas as pd
 
 from game import run_game
 from util import initial_q_fill
 
 
 AMOUNT_RUNS = 5000
-EPSILON = 0.1
-ALPHA = 0.1
-GAMMA = 0.9
+EPSILON = 0.5
+ALPHA = 0.3
+GAMMA = 0.5
 
 
 """
@@ -23,8 +24,27 @@ cookies_per_run = []
 for x in range(AMOUNT_RUNS):
     amount_cookies_ate = run_game(q_values, EPSILON, ALPHA, GAMMA)
     cookies_per_run.append(amount_cookies_ate)
-    print(f"Run {x}: {amount_cookies_ate} cookies ate\n")
+    # print(f"Run {x}: {amount_cookies_ate} cookies ate\n")
+
+wins = 0
+for element in cookies_per_run:
+    if element == 20:
+        wins += 1
+    
+print(f"Win percentage: {wins/AMOUNT_RUNS}%")
 
 
-plt.plot(cookies_per_run)
+window_size = 100  # Adjust based on your needs
+rolling_avg = pd.Series(cookies_per_run).rolling(window=window_size, center=True).mean()
+
+plt.figure(figsize=(12, 6))
+plt.plot(cookies_per_run, alpha=0.2, label='Raw Data', linewidth=0.5, color='gray')
+plt.plot(rolling_avg, label=f'{window_size}-point Moving Average', 
+            linewidth=2, color='blue')
+plt.title("Data with Rolling Average")
+plt.xlabel("Index")
+plt.ylabel("Value")
+plt.legend()
+plt.grid(True, alpha=0.3)
 plt.show()
+