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Started 6th assignment

master
Ruben-FreddyLoafers 2026-04-22 09:42:30 +02:00
parent fa2acdcecd
commit ce4d553439
4 changed files with 11131 additions and 2 deletions
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4
04_pacman_rl/pacman.py
View File

@ -287,7 +287,7 @@ def visualize(q, num_games=10):
ghost.draw()
pygame.display.flip()
tick_speed = 200 # if game_num % 20 == 0 else 100
tick_speed = 20 # if game_num % 20 == 0 else 100
clock.tick(tick_speed)
print("winrate: " + str(games_won / num_games))
@ -304,7 +304,7 @@ def main():
q = train(q, num_iterations=10000)
print("\nTraining complete! Starting visualization...")
visualize(q, num_games=100)
visualize(q, num_games=10)
pygame.quit()

70
06_mul_func_nn/mul_func.py 100644
View File

@ -0,0 +1,70 @@
import numpy as np
import random
import json
import math
import os
ETA = 0.95
# Load training data from JSON files
base_path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
with open(os.path.join(base_path, 'training_input.json'), 'r') as f:
training_input = np.array(json.load(f))
with open(os.path.join(base_path, 'desired_output.json'), 'r') as f:
desired_output = np.array(json.load(f))
def sigmoid_func(z):
return 1 / (1 + math.exp(-z))
def relu(z):
return max(0, z)
def weight_loss_derivative(aL, aLm1, zL, y):
sigmoid = 1 if zL > 0 else sigmoid = 0
return aLm1 * sigmoid * 2 * (aL - y)
def bias_loss_derivative(a, y):
return (a - y) * a * (1 - a)
sigmoid = relu
w = np.array(
np.random.uniform(-1.0, 1.0, 8),
np.random.uniform(-1.0, 1.0, 4)
)
b = np.array(
np.random.uniform(-0.1, 0.1, 4),
random.uniform(-0.1, 0.1)
)
a = np.array(
[],
[]
)
c = np.array([])
for val_pair in training_input:
for idx, i in enumerate(range(0, len(w[1]), 2)): # i steps by 2, idx steps by 1
z = w[1][i] * val_pair[1] * w[1][i + 1] * val_pair[2] + b[1][idx]
np.append(a[1], sigmoid(z))
for j in range(len(w[2])):
z = w[2][j] * a[1][j] + b[2]
np.append(a[2], z)
output = np.sum(a[2])
print(output)
# calc freakin cost function
print(training_input.index[val_pair])
np.append(c, (output - desired_output[training_input.index[val_pair]]) ** 2 / 2)
print(w)

856
desired_output.json 100644
View File

@ -0,0 +1,856 @@
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0.24, 0.23, 0.22, 0.21, 0.2, 0.19, 0.17, 0.16, 0.15, 0.14, 0.13, 0.12, 0.1,
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0.49, 0.48, 0.47, 0.46, 0.45, 0.44, 0.43, 0.42, 0.41, 0.4, 0.39, 0.38, 0.37,
0.36, 0.35, 0.34, 0.33, 0.32, 0.31, 0.3, 0.29, 0.28, 0.27, 0.26, 0.25, 0.24,
0.23, 0.22, 0.21, 0.2, 0.19, 0.18, 0.17, 0.16, 0.15, 0.14, 0.13, 0.12, 0.11,
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0.28, 0.27, 0.26, 0.25, 0.24, 0.23, 0.22, 0.21, 0.2, 0.19, 0.18, 0.17, 0.16,
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0.33, 0.32, 0.31, 0.3, 0.29, 0.29, 0.28, 0.27, 0.26, 0.25, 0.24, 0.23, 0.22,
0.21, 0.2, 0.19, 0.18, 0.17, 0.17, 0.16, 0.15, 0.14, 0.13, 0.12, 0.11, 0.1,
0.09, 0.08, 0.07, 0.06, 0.06, 0.05, 0.04, 0.03, 0.02, 0.01, -0.0, -0.01,
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0.38, 0.37, 0.36, 0.35, 0.34, 0.33, 0.33, 0.32, 0.31, 0.3, 0.29, 0.28, 0.27,
0.26, 0.26, 0.25, 0.24, 0.23, 0.22, 0.21, 0.2, 0.19, 0.18, 0.18, 0.17, 0.16,
0.15, 0.14, 0.13, 0.12, 0.11, 0.11, 0.1, 0.09, 0.08, 0.07, 0.06, 0.05, 0.04,
0.04, 0.03, 0.02, 0.01, -0.0, -0.01, -0.02, -0.03, -0.04, -0.04, -0.05, -0.06,
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0.3, 0.29, 0.29, 0.28, 0.27, 0.26, 0.25, 0.24, 0.24, 0.23, 0.22, 0.21, 0.2,
0.19, 0.18, 0.18, 0.17, 0.16, 0.15, 0.14, 0.13, 0.13, 0.12, 0.11, 0.1, 0.09,
0.08, 0.08, 0.07, 0.06, 0.05, 0.04, 0.03, 0.03, 0.02, 0.01, -0.0, -0.01,
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0.34, 0.34, 0.33, 0.32, 0.31, 0.3, 0.3, 0.29, 0.28, 0.27, 0.26, 0.26, 0.25,
0.24, 0.23, 0.22, 0.22, 0.21, 0.2, 0.19, 0.18, 0.18, 0.17, 0.16, 0.15, 0.14,
0.14, 0.13, 0.12, 0.11, 0.1, 0.1, 0.09, 0.08, 0.07, 0.06, 0.06, 0.05, 0.04,
0.03, 0.02, 0.02, 0.01, -0.0, -0.01, -0.02, -0.02, -0.03, -0.04, -0.05, -0.06,
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0.37, 0.36, 0.36, 0.35, 0.34, 0.33, 0.33, 0.32, 0.31, 0.3, 0.3, 0.29, 0.28,
0.27, 0.27, 0.26, 0.25, 0.24, 0.24, 0.23, 0.22, 0.21, 0.21, 0.2, 0.19, 0.18,
0.17, 0.17, 0.16, 0.15, 0.14, 0.14, 0.13, 0.12, 0.11, 0.11, 0.1, 0.09, 0.08,
0.08, 0.07, 0.06, 0.05, 0.05, 0.04, 0.03, 0.02, 0.02, 0.01, -0.0, -0.01,
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0.07, 0.07, 0.08, 0.08, 0.09, 0.09, 0.1, 0.1, 0.11, 0.11, 0.12, 0.12, 0.13,
0.14, 0.14, 0.15, 0.15, 0.16, 0.16, 0.17, 0.17, 0.18, 0.18, 0.19, 0.19, 0.2,
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0.18, 0.19, 0.2, 0.2, 0.21, 0.21, 0.22, 0.22, 0.23, 0.24, 0.24, 0.25, 0.25,
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0.08, 0.09, 0.1, 0.1, 0.11, 0.11, 0.12, 0.13, 0.13, 0.14, 0.14, 0.15, 0.16,
0.16, 0.17, 0.17, 0.18, 0.19, 0.19, 0.2, 0.2, 0.21, 0.22, 0.22, 0.23, 0.23,
0.24, 0.25, 0.25, 0.26, 0.26, 0.27, 0.28, 0.28, 0.29, 0.29, 0.3, -0.32, -0.31,
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0.01, 0.02, 0.03, 0.03, 0.04, 0.05, 0.05, 0.06, 0.07, 0.07, 0.08, 0.09, 0.1,
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0.19, 0.2, 0.2, 0.21, 0.22, 0.22, 0.23, 0.24, 0.24, 0.25, 0.26, 0.27, 0.27,
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0.15, 0.16, 0.17, 0.17, 0.18, 0.19, 0.19, 0.2, 0.21, 0.22, 0.22, 0.23, 0.24,
0.24, 0.25, 0.26, 0.27, 0.27, 0.28, 0.29, 0.3, 0.3, 0.31, 0.32, 0.32, 0.33,
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0.01, 0.02, 0.02, 0.03, 0.04, 0.05, 0.05, 0.06, 0.07, 0.08, 0.08, 0.09, 0.1,
0.11, 0.11, 0.12, 0.13, 0.14, 0.14, 0.15, 0.16, 0.17, 0.17, 0.18, 0.19, 0.2,
0.21, 0.21, 0.22, 0.23, 0.24, 0.24, 0.25, 0.26, 0.27, 0.27, 0.28, 0.29, 0.3,
0.3, 0.31, 0.32, 0.33, 0.33, 0.34, 0.35, 0.36, 0.36, 0.37, 0.38, -0.4, -0.39,
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0.06, 0.07, 0.08, 0.09, 0.1, 0.1, 0.11, 0.12, 0.13, 0.14, 0.14, 0.15, 0.16,
0.17, 0.18, 0.18, 0.19, 0.2, 0.21, 0.22, 0.22, 0.23, 0.24, 0.25, 0.26, 0.26,
0.27, 0.28, 0.29, 0.3, 0.3, 0.31, 0.32, 0.33, 0.34, 0.34, 0.35, 0.36, 0.37,
0.38, 0.38, 0.39, 0.4, -0.42, -0.41, -0.4, -0.39, -0.39, -0.38, -0.37, -0.36,
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0.02, 0.03, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.08, 0.09, 0.1, 0.11, 0.12,
0.13, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.18, 0.19, 0.2, 0.21, 0.22, 0.23,
0.24, 0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.29, 0.3, 0.31, 0.32, 0.33, 0.34,
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0.07, 0.08, 0.09, 0.1, 0.11, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18,
0.18, 0.19, 0.2, 0.21, 0.22, 0.23, 0.24, 0.25, 0.26, 0.26, 0.27, 0.28, 0.29,
0.3, 0.31, 0.32, 0.33, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.4,
0.41, 0.42, 0.43, 0.44, -0.46, -0.45, -0.44, -0.43, -0.42, -0.41, -0.4, -0.4,
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0.02, 0.03, 0.04, 0.05, 0.06, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13,
0.14, 0.15, 0.16, 0.17, 0.17, 0.18, 0.19, 0.2, 0.21, 0.22, 0.23, 0.24, 0.25,
0.26, 0.27, 0.28, 0.29, 0.29, 0.3, 0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37,
0.38, 0.39, 0.4, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, -0.48, -0.47, -0.46,
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0.09, 0.1, 0.11, 0.12, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2,
0.21, 0.22, 0.23, 0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3, 0.31, 0.32, 0.33,
0.34, 0.35, 0.36, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45,
0.46, 0.47, 0.48, -0.5, -0.49, -0.48, -0.47, -0.46, -0.45, -0.44, -0.43,
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0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13, 0.14,
0.15, 0.16, 0.17, 0.18, 0.19, 0.2, 0.21, 0.22, 0.23, 0.24, 0.25, 0.26, 0.27,
0.28, 0.29, 0.3, 0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4,
0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, -0.52, -0.51, -0.5,
-0.49, -0.48, -0.47, -0.46, -0.45, -0.44, -0.43, -0.42, -0.41, -0.4, -0.38,
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-0.15, -0.14, -0.12, -0.11, -0.1, -0.09, -0.08, -0.07, -0.06, -0.05, -0.04,
-0.03, -0.02, -0.01, 0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08,
0.09, 0.1, 0.11, 0.12, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2, 0.21, 0.22,
0.23, 0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3, 0.31, 0.32, 0.33, 0.34, 0.35,
0.36, 0.37, 0.38, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49,
0.5, 0.51, 0.52, -0.54, -0.53, -0.52, -0.51, -0.5, -0.49, -0.48, -0.46, -0.45,
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-0.09, -0.08, -0.06, -0.05, -0.04, -0.03, -0.02, -0.01, 0.0, 0.01, 0.02, 0.03,
0.04, 0.05, 0.06, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17,
0.18, 0.19, 0.21, 0.22, 0.23, 0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3, 0.31,
0.32, 0.33, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45,
0.46, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, -0.56, -0.55, -0.54, -0.53,
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-0.39, -0.38, -0.37, -0.36, -0.35, -0.34, -0.32, -0.31, -0.3, -0.29, -0.28,
-0.27, -0.26, -0.25, -0.24, -0.22, -0.21, -0.2, -0.19, -0.18, -0.17, -0.16,
-0.15, -0.13, -0.12, -0.11, -0.1, -0.09, -0.08, -0.07, -0.06, -0.04, -0.03,
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0.12, 0.13, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2, 0.21, 0.22, 0.24, 0.25, 0.26,
0.27, 0.28, 0.29, 0.3, 0.31, 0.32, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4,
0.41, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.52, 0.53, 0.54, 0.55,
0.56, -0.58, -0.57, -0.56, -0.55, -0.53, -0.52, -0.51, -0.5, -0.49, -0.48,
-0.46, -0.45, -0.44, -0.43, -0.42, -0.41, -0.39, -0.38, -0.37, -0.36, -0.35,
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-0.21, -0.2, -0.19, -0.17, -0.16, -0.15, -0.14, -0.13, -0.12, -0.1, -0.09,
-0.08, -0.07, -0.06, -0.05, -0.03, -0.02, -0.01, 0.0, 0.01, 0.02, 0.03, 0.05,
0.06, 0.07, 0.08, 0.09, 0.1, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.19, 0.2,
0.21, 0.22, 0.23, 0.24, 0.26, 0.27, 0.28, 0.29, 0.3, 0.31, 0.32, 0.34, 0.35,
0.36, 0.37, 0.38, 0.39, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.48, 0.49, 0.5,
0.51, 0.52, 0.53, 0.55, 0.56, 0.57, 0.58, -0.6, -0.59, -0.58, -0.56, -0.55,
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-0.14, -0.13, -0.12, -0.11, -0.1, -0.08, -0.07, -0.06, -0.05, -0.04, -0.02,
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0.14, 0.16, 0.17, 0.18, 0.19, 0.2, 0.22, 0.23, 0.24, 0.25, 0.26, 0.28, 0.29,
0.3, 0.31, 0.32, 0.34, 0.35, 0.36, 0.37, 0.38, 0.4, 0.41, 0.42, 0.43, 0.44,
0.46, 0.47, 0.48, 0.49, 0.5, 0.52, 0.53, 0.54, 0.55, 0.56, 0.58, 0.59, 0.6,
-0.62, -0.61, -0.6, -0.58, -0.57, -0.56, -0.55, -0.53, -0.52, -0.51, -0.5,
-0.48, -0.47, -0.46, -0.45, -0.43, -0.42, -0.41, -0.4, -0.38, -0.37, -0.36,
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-0.21, -0.2, -0.19, -0.17, -0.16, -0.15, -0.14, -0.12, -0.11, -0.1, -0.09,
-0.07, -0.06, -0.05, -0.04, -0.02, -0.01, 0.0, 0.01, 0.02, 0.04, 0.05, 0.06,
0.07, 0.09, 0.1, 0.11, 0.12, 0.14, 0.15, 0.16, 0.17, 0.19, 0.2, 0.21, 0.22,
0.24, 0.25, 0.26, 0.27, 0.29, 0.3, 0.31, 0.32, 0.33, 0.35, 0.36, 0.37, 0.38,
0.4, 0.41, 0.42, 0.43, 0.45, 0.46, 0.47, 0.48, 0.5, 0.51, 0.52, 0.53, 0.55,
0.56, 0.57, 0.58, 0.6, 0.61, 0.62, -0.64, -0.63, -0.61, -0.6, -0.59, -0.58,
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-0.14, -0.13, -0.12, -0.1, -0.09, -0.08, -0.06, -0.05, -0.04, -0.03, -0.01,
0.0, 0.01, 0.03, 0.04, 0.05, 0.06, 0.08, 0.09, 0.1, 0.12, 0.13, 0.14, 0.15,
0.17, 0.18, 0.19, 0.2, 0.22, 0.23, 0.24, 0.26, 0.27, 0.28, 0.29, 0.31, 0.32,
0.33, 0.35, 0.36, 0.37, 0.38, 0.4, 0.41, 0.42, 0.44, 0.45, 0.46, 0.47, 0.49,
0.5, 0.51, 0.52, 0.54, 0.55, 0.56, 0.58, 0.59, 0.6, 0.61, 0.63, 0.64, -0.66,
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-0.28, -0.26, -0.24, -0.22, -0.2, -0.18, -0.16, -0.14, -0.12, -0.1, -0.08,
-0.06, -0.04, -0.02, 0.0, 0.02, 0.04, 0.06, 0.08, 0.1, 0.12, 0.14, 0.16, 0.18,
0.2, 0.22, 0.24, 0.26, 0.28, 0.3, 0.32, 0.34, 0.36, 0.38, 0.4, 0.42, 0.44,
0.46, 0.48, 0.5, 0.52, 0.54, 0.56, 0.58, 0.6, 0.62, 0.64, 0.66, 0.68, 0.7,
0.72, 0.74, 0.76, 0.78, 0.8, 0.82, 0.84, 0.86, 0.88, 0.9, 0.92, 0.94, 0.96,
0.98, 1.0
]

10203
training_input.json 100644
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