Esempio n. 1
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def select_mode():
    gui = visulization.GUI("select")
    pygame.display.update()
    random_controller = controller.ManualController(gui.get_robot())
    while True:
        random_controller.key_handler()
        gui.draw()
        pygame.display.update()
Esempio n. 2
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def manual(action):
    gui = visulization.GUI()
    pygame.display.update()
    random_controller = controller.ManualController(gui.get_robot())

    gui.draw()
    pygame.display.update()
    pygame.time.wait(1000)
    random_controller.control(action)
    gui.draw()
    pygame.display.update()
    pygame.time.wait(1000)
Esempio n. 3
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def random():
    gui = visulization.GUI("problems/problem1.txt")
    pygame.display.update()
    random_controller = controller.RandomController(gui.get_robot())

    nb_moves = 0
    while True:
        nb_moves += 1
        gui.draw()
        random_controller.control()
        pygame.display.update()
        pygame.time.wait(10)
    print "Job done in %d moves" % nb_moves
Esempio n. 4
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def value_iteration():
    gui = visulization.GUI()
    pygame.display.update()
    mdp = controller.MDPController(gui.get_robot(), gui.get_window_size())
    mdp.converge_utable()

    nb_moves = 0
    while True:
        if len(mdp.dirty_tiles) == 0:
            break
        nb_moves += 1
        gui.draw()
        mdp.decide_action("value iteration")
        pygame.display.update()
        pygame.time.wait(1000)
    print "Job done in %d moves" % nb_moves
Esempio n. 5
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import tensorflow as tf
import pygame
import visulization
import controller
import skimage.io
import skimage.transform
import skimage.exposure
import skimage.color
import numpy as np
import model_tf

GAME = visulization.GUI()
CONTROLLER = controller.ManualController(GAME.get_robot())
ACTIONS = {"up": 0, "down": 1, "right": 2, "left": 3, "suck": 4}
INDICES_TO_ACTIONS = {v: k for k, v in ACTIONS.iteritems()}


def get_next_frame(action=None):
    global GAME, CONTROLLER
    if action is not None:
        CONTROLLER.control(action)
    GAME.draw()
    _img = pygame.surfarray.array3d(GAME.get_surface())
    _img = np.array(_img)
    _img = skimage.color.rgb2gray(_img)
    _img = skimage.transform.resize(_img, (84, 84))
    _img = skimage.exposure.rescale_intensity(_img, out_range=(0, 255))
    s = (CONTROLLER.robot.get_tile_pos()[0],
         CONTROLLER.robot.get_tile_pos()[1], tuple(CONTROLLER.dirty_tiles))
    return _img, CONTROLLER.reward_func(s), CONTROLLER.terminate()