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ale_game.py
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from __future__ import division
from ale_python_interface import ALEInterface
import numpy as np
import skimage.transform
def init(game, display_screen=False, record_dir=None):
if display_screen:
import pygame
pygame.init()
ale = ALEInterface()
ale.setBool('display_screen', display_screen)
ale.setInt('random_seed', 123)
if record_dir is not None:
ale.setString("record_screen_dir", record_dir)
ale.loadROM('{game}.bin'.format(game=game))
ale.setFloat("repeat_action_probability", 0)
return ale
class Phi(object):
def __init__(self, method="crop_and_resize"):
self.screen_size = (84, 84)
self.method = method
def __call__(self, frames):
last = frames[3:16:4]
sec_last = frames[2:16:4]
return [self.resize_and_crop(img) for img in np.max([last, sec_last], axis=0)]
def resize_and_crop(self, im):
# Resize so smallest dim = 256, preserving aspect ratio
if self.method == "resize":
return skimage.transform.resize(im, (84, 84), preserve_range=True).astype(dtype=np.uint8)
else:
im = im[40:-10, :]
h, w = im.shape
if h < w:
im = skimage.transform.resize(im, (84, w*84//h), preserve_range=True)
else:
im = skimage.transform.resize(im, (h*84//w, 84), preserve_range=True)
# Central crop to 224x224
h, w = im.shape
return im[h//2-42:h//2+42, w//2-42:w//2+42].astype(dtype=np.uint8)
class Phi4(object):
def __init__(self, method):
self.screen_size = (84, 84)
self.method = method
def __call__(self, frames):
last = frames[12:]
sec_last = frames[11:-1]
return [self.resize_and_crop(img) for img in np.max([last, sec_last], axis=0)]
def resize_and_crop(self, im):
# Resize so smallest dim = 256, preserving aspect ratio
if self.method == "resize":
return skimage.transform.resize(im, (84, 84), preserve_range=True).astype(dtype=np.uint8)
else:
im = im[40:-10, :]
h, w = im.shape
if h < w:
im = skimage.transform.resize(im, (84, w*84//h), preserve_range=True)
else:
im = skimage.transform.resize(im, (h*84//w, 84), preserve_range=True)
# Central crop to 224x224
h, w = im.shape
return im[h//2-42:h//2+42, w//2-42:w//2+42].astype(dtype=np.uint8)
class ALEGameVisualizer:
def __init__(self, screen_size):
import pygame
self.screen_size = screen_size
self.screen = pygame.display.set_mode((screen_size * 2, screen_size * 8))
self.mem = {}
def show(self, prev_frames):
import pygame
def l(x):
if x not in self.mem:
self.mem[x] = (x, x, x)
return self.mem[x]
f_l = np.frompyfunc(l, 1, 3)
rect = pygame.Surface((self.screen_size * 2, self.screen_size * 8))
image = np.reshape(zip(*list(f_l(np.concatenate(prev_frames).flatten()))), (self.screen_size * 4, self.screen_size, 3))
image = np.transpose(image, [1, 0, 2])
pygame.surfarray.blit_array(rect, np.repeat(np.repeat(image, 2, axis=0), 2, axis=1))
self.screen.blit(rect, (0, 0))
pygame.display.flip()
def next_game(self):
pass
class ALEGame(object):
def __init__(self, ale):
self.ale = ale
self.finished = True
self.cum_reward = 0
self.action_set = self.ale.getMinimalActionSet()
self.h = 210
self.w = 160
self.prev_frames = [np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8),
np.zeros((self.h, self.w), dtype=np.uint8), ]
def reset_game(self):
self.ale.reset_game()
self.finished = False
self.cum_reward = 0
def n_actions(self):
return len(self.action_set)
def input(self, action):
lives_before = self.ale.lives()
action_reward = self.ale.act(self.action_set[action])
self.cum_reward += action_reward
if self.ale.game_over():
self.finished = True
self.prev_frames.append(np.dot(self.ale.getScreenRGB(), np.array([0.2126, 0.7152, 0.0722])).astype(np.int8))
self.prev_frames = self.prev_frames[1:]
return action_reward, lives_before != self.ale.lives()
def get_state(self):
return self.prev_frames