def __init__(self):
self.flappybird = FlappyBird()
self.current_observation = None
self.current_theory = None
self.action_counter = 0
self.theories_manager = TheoriesManager()
self.theories_manager.get_theories_from_json('theories_saved.json')
self.just_restarted = False
self.turns_for_jump = 0
def main(): best = None best_speed = None tmp_speed = None fp = FlappyBird() bird = Bird() best_speed = fp.run(bird, best, best_speed) best = bird while True: bird = Bird() tmp_speed = fp.run(bird, best, best_speed) if bird.fitness > best.fitness: best = bird best_speed = tmp_speed
def main():
n_birds = 15
n_generations = 1000
best_info = None
fp = FlappyBird()
ga = GeneticAlgorithm(n_birds, lambda brain: Bird(_brain=brain))
birds = ga.init_population()
fp.run(birds, best_info)
birds, best_info = ga.evolve(birds)
best_info = best_info + (1, )
show_best(best_info)
for i in xrange(n_generations):
fp.run(birds, best_info)
birds, tmp = ga.evolve(birds)
if tmp[2] > best_info[2]:
best_info = tmp + (i + 2, )
show_best(best_info)
def flappy_game(self):
game = FlappyBird()
game.run()
def __init__(self):
self.flappybird = FlappyBird();