def create_random_generation(num_population, action_list):
generation = []
for pop_index in range(num_population):
brain = Brain()
brain.action_list = action_list
brain.create_random_brain([30, 32])
brain.index = pop_index
generation.append(brain)
return generation
from acions import NEW_COMPLEX_MOVEMENT
from Brain import Brain
import sys
import os
import cv2
movements = [
NEW_COMPLEX_MOVEMENT, COMPLEX_MOVEMENT, SIMPLE_MOVEMENT, RIGHT_ONLY
]
movement = movements[3]
num_movement = len(movement)
load = False
brain = Brain()
brain.action_list = movement
if not load:
brain.create_brain_q((60, 64))
else:
brain.load_model(
'model_fitness_4208_generation_99_population_index_99.sav',
os.getcwd() + "/models/")
brain.generation_num = 99
brain.index = 99
fitness_list = []
environments_mario = [
"SuperMarioBros-v0", "SuperMarioBros-v1", "SuperMarioBros-v2",
"SuperMarioBros-v3", "SuperMarioBrosNoFrameskip-v0",
"SuperMarioBrosNoFrameskip-v1", "SuperMarioBrosNoFrameskip-v2",
"SuperMarioBrosNoFrameskip-v3", "SuperMarioBros2-v0", "SuperMarioBros2-v1",
import numpy as np
from nes_py.wrappers import BinarySpaceToDiscreteSpaceEnv
import gym_super_mario_bros
from gym_super_mario_bros.actions import COMPLEX_MOVEMENT
from gym_super_mario_bros.actions import SIMPLE_MOVEMENT
from gym_super_mario_bros.actions import RIGHT_ONLY
from keras.utils import plot_model
import sys
from Brain import Brain
brain = Brain()
brain.action_list = SIMPLE_MOVEMENT
brain.create_random_brain((240, 256))
# TODO ADD in configuration variables here
environments_mario = [
"SuperMarioBros-v0", "SuperMarioBros-v1", "SuperMarioBros-v2",
"SuperMarioBros-v3", "SuperMarioBrosNoFrameskip-v0",
"SuperMarioBrosNoFrameskip-v1", "SuperMarioBrosNoFrameskip-v2",
"SuperMarioBrosNoFrameskip-v3", "SuperMarioBros2-v0", "SuperMarioBros2-v1",
"SuperMarioBros2NoFrameskip-v0", "SuperMarioBros2NoFrameskip-v1"
]
movements = [COMPLEX_MOVEMENT, SIMPLE_MOVEMENT, RIGHT_ONLY]
movement = movements[1]
def eps_greedy_q_learning_with_table(env, num_episodes=5):
