def __init__(self, init_seed, init_rand):
self.ale = ALEInterface()
self.ale.setInt(b'random_seed', init_seed)
self.ale.setBool('display_screen', False)
self.ale.setBool('sound', False)
self.ale.setFloat(b'repeat_action_probability', 0.0)
self.ale.loadROM('./breakout.bin')
self.action_size = 4
self._screen = None
self.reward = 0
self.terminal = True
self.init_rand = init_rand
def __init__(self, rom_file, args):
from ale_python_interface import ALEInterface
self.ale = ALEInterface()
if args.display_screen:
if sys.platform == 'darwin':
import pygame
pygame.init()
self.ale.setBool(b'sound', False) # Sound doesn't work on OSX
elif sys.platform.startswith('linux'):
self.ale.setBool(b'sound', True)
self.ale.setBool(b'display_screen', True)
print("Frameskip: " + str(args.frame_skip))
self.ale.setInt(b'frame_skip', args.frame_skip)
self.ale.setFloat(b'repeat_action_probability',
args.repeat_action_probability)
self.ale.setBool(b'color_averaging', args.color_averaging)
if args.random_seed:
self.ale.setInt(b'random_seed', args.random_seed)
if args.record_screen_path:
if not os.path.exists(args.record_screen_path):
logger.info("Creating folder %s" % args.record_screen_path)
os.makedirs(args.record_screen_path)
logger.info("Recording screens to %s", args.record_screen_path)
self.ale.setString('record_screen_dir', args.record_screen_path)
if args.record_sound_filename:
logger.info("Recording sound to %s", args.record_sound_filename)
self.ale.setBool('sound', True)
self.ale.setString(b'record_sound_filename',
args.record_sound_filename)
self.ale.loadROM(rom_file.encode())
if args.minimal_action_set:
self.actions = self.ale.getMinimalActionSet()
logger.info("Using minimal action set with size %d" %
len(self.actions))
else:
self.actions = self.ale.getLegalActionSet()
logger.info("Using full action set with size %d" %
len(self.actions))
logger.debug("Actions: " + str(self.actions))
self.screen_width = args.screen_width
self.screen_height = args.screen_height
self.life_lost = False
def __init__(self, rom_file, sdl=False):
self.ale = ALEInterface()
# Setup SDL
if sdl:
if sys.platform == 'darwin':
import pygame
pygame.init()
self.ale.setBool(b'sound', False) # Sound doesn't work on OSX
elif sys.platform.startswith('linux'):
self.ale.setBool(b'sound', True)
self.ale.setBool(b'display_screen', True)
# Load rom
self.ale.loadROM(str.encode(rom_file))
def __init__(
self,
rom,
frame_skip=1,
repeat_action_probability=0.0,
loss_of_life_termination=False,
loss_of_life_reward=0,
display_screen=False,
seed=np.random.RandomState()
):
"""
Initialize ALE.
Args:
rom: Rom filename and directory.
frame_skip: Repeat action for n frames. Default 1.
repeat_action_probability: Repeats last action with given probability. Default 0.
loss_of_life_termination: Signals a terminal state on loss of life. Default False.
loss_of_life_reward: Reward/Penalty on loss of life (negative values are a penalty). Default 0.
display_screen: Displays the emulator screen. Default False.
seed: Random seed
"""
self.ale = ALEInterface()
self.rom = rom
self.ale.setBool(b'display_screen', display_screen)
self.ale.setInt(b'random_seed', seed.randint(0, 9999))
self.ale.setFloat(b'repeat_action_probability', repeat_action_probability)
self.ale.setBool(b'color_averaging', False)
self.ale.setInt(b'frame_skip', frame_skip)
# All set commands must be done before loading the ROM.
self.ale.loadROM(rom.encode())
# Setup gamescreen object.
width, height = self.ale.getScreenDims()
self.gamescreen = np.empty((height, width, 3), dtype=np.uint8)
self.frame_skip = frame_skip
# Setup action converter.
# ALE returns legal action indexes, convert these to just numbers.
self.action_inds = self.ale.getMinimalActionSet()
# Setup lives
self.loss_of_life_reward = loss_of_life_reward
self.cur_lives = self.ale.lives()
self.loss_of_life_termination = loss_of_life_termination
self.life_lost = False
def init(display_screen=False, record_dir=None):
if display_screen:
import pygame
pygame.init()
rom_path = '.'
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(rom_path + '/space_invaders.bin')
ale.setFloat("repeat_action_probability", 0)
return ale
def __init__(self,
game='pong',
obs_type='ram',
frameskip=(2, 5),
repeat_action_probability=0.):
"""Frameskip should be either a tuple (indicating a random range to
choose from, with the top value exclude), or an int."""
utils.EzPickle.__init__(self, game, obs_type)
assert obs_type in ('ram', 'image')
self.game_path = atari_py.get_game_path(game)
if not os.path.exists(self.game_path):
raise IOError('You asked for game %s but path %s does not exist' %
(game, self.game_path))
self._obs_type = obs_type
self.frameskip = frameskip
self.ale = ALEInterface()
self.viewer = None
# Tune (or disable) ALE's action repeat:
# https://github.com/openai/gym/issues/349
assert isinstance(
repeat_action_probability,
(float, int)), "Invalid repeat_action_probability: {!r}".format(
repeat_action_probability)
self.ale.setFloat('repeat_action_probability'.encode('utf-8'),
repeat_action_probability)
self._seed()
(screen_width, screen_height) = self.ale.getScreenDims()
self._buffer = np.empty((screen_height, screen_width, 3),
dtype=np.uint8)
self._action_set = self.ale.getMinimalActionSet()
self.action_space = spaces.Discrete(len(self._action_set))
(screen_width, screen_height) = self.ale.getScreenDims()
if self._obs_type == 'ram':
self.observation_space = spaces.Box(low=np.zeros(128),
high=np.zeros(128) + 255)
elif self._obs_type == 'image':
self.observation_space = spaces.Box(low=0,
high=255,
shape=(screen_height,
screen_width, 3))
else:
raise error.Error('Unrecognized observation type: {}'.format(
self._obs_type))
def __init__(self, rom_name):
self.ale = ALEInterface()
self.max_frames_per_episode = self.ale.getInt(
"max_num_frames_per_episode")
self.ale.setInt("random_seed", 123)
self.ale.setInt("frame_skip", 4)
self.ale.loadROM('./' + rom_name)
self.screen_width, self.screen_height = self.ale.getScreenDims()
self.legal_actions = self.ale.getMinimalActionSet()
self.action_map = dict()
for i in range(len(self.legal_actions)):
self.action_map[self.legal_actions[i]] = i
#print len(self.legal_actions)
self.windowname = rom_name
def __init__(self,
rom_path,
seed=123,
frameskip=4,
show_display=False,
stack_num_states=4,
concatenate_state_every=4):
"""
Parameters:
Frameskip should be either a tuple (indicating a random range to
choose from, with the top value exclude), or an int. It's aka action repeat.
stack_num_states: Number of dimensions/channels to have.
concatenate_state_every: After how many frames should one channel be appended to state.
Number is in terms of absolute frames independent of frameskip
"""
self.stack_num_states = stack_num_states
self.concatenate_state_every = concatenate_state_every
self.game_path = rom_path
if not os.path.exists(self.game_path):
raise IOError('You asked for game %s but path %s does not exist' %
(game, self.game_path))
self.frameskip = frameskip
try:
self.ale = ALEInterface()
except Exception as e:
print(
"ALEInterface could not be loaded. ale_python_interface import failed"
)
raise e
#Set some default options
self.ale.setInt(b'random_seed', seed)
self.ale.setBool(b'sound', False)
self.ale.setBool(b'display_screen', show_display)
self.ale.setFloat(b'repeat_action_probability', 0.)
#Load the rom
self.ale.loadROM(self.game_path)
(self.screen_width, self.screen_height) = self.ale.getScreenDims()
self.latest_frame_fifo = deque(
maxlen=2) #Holds the two closest frames to max.
self.state_fifo = deque(maxlen=stack_num_states)
def __init__(self,
emulator_id,
game,
resource_folder,
random_seed=3,
random_start=True,
single_life_episodes=False,
history_window=1,
visualize=False,
verbose=0,
**unknown):
if verbose >= 2:
logging.debug('Emulator#{} received unknown args: {}'.format(
emulator_id, unknown))
self.emulator_id = emulator_id
self.ale = ALEInterface()
self.ale.setInt(b"random_seed", random_seed * (emulator_id + 1))
# For fuller control on explicit action repeat (>= ALE 0.5.0)
self.ale.setFloat(b"repeat_action_probability", 0.0)
# Disable frame_skip and color_averaging
# See: http://is.gd/tYzVpj
self.ale.setInt(b"frame_skip", 1)
self.ale.setBool(b"color_averaging", False)
self.ale.setBool(b"display_screen", visualize)
full_rom_path = resource_folder + "/" + game + ".bin"
self.ale.loadROM(str.encode(full_rom_path))
self.legal_actions = self.ale.getMinimalActionSet()
#this env is fixed until firing, so you have to...
self._have_to_fire = ('FIRE' in [
ACTION_MEANING[a] for a in self.legal_actions
])
self.screen_width, self.screen_height = self.ale.getScreenDims()
self.lives = self.ale.lives()
self.random_start = random_start
self.single_life_episodes = single_life_episodes
self.call_on_new_frame = visualize
self.history_window = history_window
self.observation_shape = (self.history_window, IMG_SIZE_X, IMG_SIZE_Y)
self.rgb_screen = np.zeros((self.screen_height, self.screen_width, 3),
dtype=np.uint8)
self.gray_screen = np.zeros((self.screen_height, self.screen_width, 1),
dtype=np.uint8)
# Processed historcal frames that will be fed in to the network (i.e., four 84x84 images)
self.history = create_history_observation(self.history_window)
#ObservationPool(np.zeros(self.observation_shape, dtype=np.uint8))
self.frame_preprocessor = FramePreprocessor(self.gray_screen.shape,
FRAMES_IN_POOL)
def __init__(self, state_height, state_width, display_screen=False):
self.ale = ALEInterface()
self.ale.setInt("frame_skip", 4)
self.ale.setInt("random_seed", 123)
self.ale.setBool("display_screen", display_screen)
self.ale.loadROM("roms/breakout.bin")
self.actions = self.ale.getMinimalActionSet()
self.score = 0
self.actions_len = len(self.actions)
self.screen_width, self.screen_height = self.ale.getScreenDims()
self.state_width = state_width
self.state_height = state_height
self.state_len = self.state_width * self.state_height
self.make_move(self.actions[0])
self.make_move(self.actions[1])
def __init__(self,
rom_filename,
seed=None,
use_sdl=False,
n_last_screens=4,
frame_skip=4,
treat_life_lost_as_terminal=True,
crop_or_scale='scale',
max_start_nullops=30,
record_screen_dir=None):
self.n_last_screens = n_last_screens
self.treat_life_lost_as_terminal = treat_life_lost_as_terminal
self.crop_or_scale = crop_or_scale
self.max_start_nullops = max_start_nullops
ale = ALEInterface()
if seed is not None:
assert seed >= 0 and seed < 2 ** 16, \
"ALE's random seed must be represented by unsigned int"
else:
# Use numpy's random state
seed = np.random.randint(0, 2**16)
ale.setInt(b'random_seed', seed)
ale.setFloat(b'repeat_action_probability', 0.0)
ale.setBool(b'color_averaging', False)
if record_screen_dir is not None:
ale.setString(b'record_screen_dir', str.encode(record_screen_dir))
self.frame_skip = frame_skip
if use_sdl:
if 'DISPLAY' not in os.environ:
raise RuntimeError(
'Please set DISPLAY environment variable for use_sdl=True')
# SDL settings below are from the ALE python example
if sys.platform == 'darwin':
import pygame
pygame.init()
ale.setBool(b'sound', False) # Sound doesn't work on OSX
elif sys.platform.startswith('linux'):
ale.setBool(b'sound', True)
ale.setBool(b'display_screen', True)
ale.loadROM(str.encode(rom_filename))
assert ale.getFrameNumber() == 0
self.ale = ale
self.legal_actions = ale.getMinimalActionSet()
self.initialize()
def __init__(self, args):
"""
Creates an object from which new environments can be created
:param args:
"""
if args.experiment_type == 'atari':
from atari_emulator import AtariEmulator
from ale_python_interface import ALEInterface
filename = args.rom_path + "/" + args.game + ".bin"
ale_int = ALEInterface()
ale_int.loadROM(str.encode(filename))
self.num_actions = len(ale_int.getMinimalActionSet())
self.state_shape = (84, 84, 4)
self.create_environment = lambda i: AtariEmulator(i, args)
elif args.experiment_type == 'corridor':
corridor_envs = {
'FrozenLake-v0': None,
'FrozenLakeNonskid4x4-v0': None,
'FrozenLakeNonskid8x8-v0': None,
'CorridorSmall-v1': CorridorEnv,
'CorridorSmall-v2': CorridorEnv,
'CorridorActionTest-v0': CorridorEnv,
'CorridorActionTest-v1': ComplexActionSetCorridorEnv,
'CorridorBig-v0': CorridorEnv,
'CorridorFLNonSkid-v1': CorridorEnv
}
corridor_game_id = args.game
corridor_class = corridor_envs[args.game]
env = GymEnvironment(-1, corridor_game_id, args.random_seed, env_class=corridor_class)
self.num_actions = env.num_actions
self.state_shape = tuple(env.shape)
del env
self.create_environment = lambda i: GymEnvironment(i, corridor_game_id, args.random_seed, env_class=corridor_class)
else:
import gym
env = gym.make(args.game)
s = env.reset()
if type(s) == list or type(s) == tuple:
self.state_shape = (len(s[0])+len(s[1]),)
else:
self.state_shape = list(env.observation_space.shape)
self.num_actions = env.action_space.n
del env
self.create_environment = lambda i: gym.make(args.game)
def __init__(self, rom_path, rom_name, visualize, actor_id, rseed, single_life_episodes = False):
self.ale = ALEInterface()
self.ale.setInt("random_seed", rseed * (actor_id +1))
# For fuller control on explicit action repeat (>= ALE 0.5.0)
self.ale.setFloat("repeat_action_probability", 0.0)
# Disable frame_skip and color_averaging
# See: http://is.gd/tYzVpj
self.ale.setInt("frame_skip", 1)
self.ale.setBool("color_averaging", False)
self.ale.loadROM(rom_path + "/" + rom_name + ".bin")
self.legal_actions = self.ale.getMinimalActionSet()
self.screen_width,self.screen_height = self.ale.getScreenDims()
#self.ale.setBool('display_screen', True)
# Processed historcal frames that will be fed in to the network
# (i.e., four 84x84 images)
self.screen_images_processed = np.zeros((IMG_SIZE_X, IMG_SIZE_Y,
NR_IMAGES))
self.rgb_screen = np.zeros((self.screen_height,self.screen_width, 3), dtype=np.uint8)
self.gray_screen = np.zeros((self.screen_height,self.screen_width,1), dtype=np.uint8)
self.frame_pool = np.empty((2, self.screen_height, self.screen_width))
self.current = 0
self.lives = self.ale.lives()
self.visualize = visualize
self.visualize_processed = False
self.windowname = rom_name + ' ' + str(actor_id)
if self.visualize:
logger.debug("Opening emulator window...")
#from skimage import io
#io.use_plugin('qt')
cv2.startWindowThread()
cv2.namedWindow(self.windowname)
logger.debug("Emulator window opened")
if self.visualize_processed:
logger.debug("Opening processed frame window...")
cv2.startWindowThread()
logger.debug("Processed frame window opened")
cv2.namedWindow(self.windowname + "_processed")
self.single_life_episodes = single_life_episodes
def __init__(self,
rom_file,
display_screen=False,
sound=False,
random_seed=0,
game_over_conditions={},
frame_skip=1,
repeat_action_probability=0.25,
max_num_frames_per_episode=0,
min_action_set=False,
screen_color='gray',
fps=60,
output_buffer_size=1,
reduce_screen=False):
# ALE instance and setup
self.ale = ALEInterface()
#TODO: check if rom file exists; will crash jupyter kernel otherwise
self.ale.loadROM(str.encode(rom_file))
self.ale.setBool(b'sound', sound)
self.ale.setBool(b'display_screen', display_screen)
if min_action_set:
self.legal_actions = self.ale.getMinimalActionSet()
else:
self.legal_actions = self.ale.getLegalActionSet()
self.ale.setInt(b'random_seed', random_seed)
self.ale.setInt(b'frame_skip', frame_skip)
self.frame_skip = frame_skip
self.ale.setFloat(b'repeat_action_probability',
repeat_action_probability)
self.ale.setInt(b'max_num_frames_per_episode',
max_num_frames_per_episode)
self.ale.loadROM(str.encode(rom_file))
self.game_over_conditions = game_over_conditions
self.screen_color = screen_color
self.reduce_screen = reduce_screen
self.d_frame = (fps**-1) * self.frame_skip
# set up output buffer
self.output_buffer_size = output_buffer_size
self.queue_size = self.output_buffer_size
self._reset_params()
def __init__(self, rom):
self.ale = ALEInterface()
self.ale.setFloat(b'repeat_action_probability', 0.0)
self.ale.loadROM(rom_file=rom)
self.action_space = self.ale.getMinimalActionSet()
self.obs = self.reset()
try:
self.im = Image.fromarray(self.obs)
self.root = Tk()
self.tkim = ImageTk.PhotoImage(self.im)
self.window = Label(image=self.tkim)
self.window.image = self.tkim
self.window.pack()
except AttributeError:
print("Cannot create rendering attributes")
def init(self, rom_file, ale_frame_skip):
self.ale = ALEInterface()
self.max_frames_per_episode = self.ale.getInt(
"max_num_frames_per_episode")
self.ale.set("random_seed", 123)
self.ale.set("disable_color_averaging", 1)
self.ale.set("frame_skip", ale_frame_skip)
self.ale.loadROM(rom_file)
self.legal_actions = self.ale.getMinimalActionSet()
ram_size = self.ale.getRAMSize()
self.ram = np.zeros((ram_size), dtype=np.uint8)
self.ale.getRAM(self.ram)
self.state = self.ale.getRAM(self.ram)
def __init__(self, rand_seed, display=False, no_op_max=7):
self.ale = ALEInterface()
self.ale.setInt(b'random_seed', rand_seed)
self._no_op_max = no_op_max
if display:
self._setup_display()
self.ale.loadROM(ROM)
# collect minimal action set
self.real_actions = self.ale.getMinimalActionSet()
# height=210, width=160
self._screen = np.empty((210, 160, 1), dtype=np.uint8)
self.reset()
def __init__(self, config):
#self.env = gym.make(config.env_name)
self.env = ALEInterface()
self.env.setInt(b'random_seed', 123)
self.env.loadROM('./breakout.bin')
self.actionSet = self.env.getMinimalActionSet()
screen_width, screen_height, self.action_repeat, self.random_start = \
config.screen_width, config.screen_height, config.action_repeat, config.random_start
self.display = config.display
self.dims = (screen_width, screen_height)
self._screen = None
self.reward = 0
self.terminal = True
def __init__(self, config):
self.history = History3D(config)
self.history_length = config.history_length
self.mode = config.mode
self.life_lost = False
self.terminal = False
self.score = 0
#cv2.namedWindow("Image")
from ale_python_interface import ALEInterface
self.ale = ALEInterface()
if config.display_screen:
if sys.platform == 'darwin':
import pygame
pygame.init()
self.ale.setBool('sound', False) # Sound doesn't work on OSX
elif sys.platform.startswith('linux'):
self.ale.setBool('sound', False)
self.ale.setBool('display_screen', True)
self.ale.setInt('frame_skip',
config.frame_skip) # Whether skip frames or not
self.ale.setBool('color_averaging', config.color_averaging)
if config.random_seed: # Random seed for repeatable experiments.
self.ale.setInt('random_seed', config.random_seed)
if config.record_screen_path:
if not os.path.exists(config.record_screen_path):
os.makedirs(config.record_screen_path)
self.ale.setString('record_screen_dir', config.record_screen_path)
if config.record_sound_filename:
self.ale.setBool('sound', True)
self.ale.setString('record_sound_filename',
config.record_sound_filename)
self.ale.loadROM(config.rom_file)
if config.minimal_action_set:
self.actions = self.ale.getMinimalActionSet()
else:
self.actions = self.ale.getLegalActionSet()
self.screen_width = config.screen_width
self.screen_height = config.screen_height
def __init__(self, args, outputDir):
self.outputDir = outputDir
self.screenCaptureFrequency = args.screen_capture_freq
self.ale = ALEInterface()
self.ale.setInt(b'random_seed', 123456)
random.seed(123456)
# Fix https://groups.google.com/forum/#!topic/deep-q-learning/p4FAIaabwlo
self.ale.setFloat(b'repeat_action_probability', 0.0)
# Load the ROM file
self.ale.loadROM(args.rom)
self.actionSet = self.ale.getMinimalActionSet()
self.gameNumber = 0
self.stepNumber = 0
self.resetGame()
def __init__(self, rom_name, vis):
self.ale = ALEInterface()
self.max_frames_per_episode = self.ale.getInt("max_mum_frames_per_episode")
self.ale.setInt("random_seed", 123)
self.ale.setInt("frame_skip", 4)
self.ale.loadROM('roms/' + rom_name)
self.legal_actions = self.ale.getMinimalActionSet()
self.action_map = dict()
for i in range(len(self.legal_actions)):
self.action_map[self.legal_actions[i]] = i
print self.legal_actions
self.screen_width, self.screen_height = self.ale.getScreenDims()
print("width/height: "+ str(self.screen_width) + "/" + str(self.screen_height))
self.vis = vis
if vis:
cv2.startWindowThread()
cv2.namedWindow("preview")
def train():
ale = ALEInterface()
ale.setInt('random_seed', 123)
ale.loadROM('roms/breakout.bin')
legal_actions = ale.getLegalActionSet()
total_reward = 0
while not ale.game_over():
a = legal_actions[randrange(len(legal_actions))]
reward = ale.act(a)
screen = None
screen = ale.getScreenRGB()
print(screen)
plt.imshow(screen)
plt.show()
total_reward += reward
print(total_reward)
print('Episode end!')
def __init__(self,
frame_skip=None,
repeat_action_probability=0.0,
state_shape=[84, 84],
rom_path=None,
game_name='pong',
random_state=None,
rendering=False,
record_dir=None,
obs_showing=False,
channel_weights=[0.5870, 0.2989, 0.1140]):
self.ale = ALEInterface()
self.frame_skip = frame_skip
self.state_shape = state_shape
if random_state is None:
random_state = np.random.RandomState(1234)
self.rng = random_state
self.channel_weights = channel_weights
self.ale.setInt(b'random_seed', self.rng.randint(1000))
self.ale.setFloat(b'repeat_action_probability',
repeat_action_probability)
self.ale.setBool(b'color_averaging', False)
if rendering:
if sys.platform == 'darwin':
import pygame
pygame.init()
self.ale.setBool(b'sound', False) # Sound doesn't work on OSX
elif sys.platform.startswith('linux'):
self.ale.setBool(b'sound', True)
self.ale.setBool(b'display_screen', True)
if rendering and record_dir is not None: # should be before loadROM
self.ale.setString(b'record_screen_dir', record_dir.encode())
self.ale.setString(b'record_sound_filename',
os.path.join(record_dir, '/sound.wav').encode())
self.ale.setInt(b'fragsize',
64) # to ensure proper sound sync (see ALE doc)
self.ale.loadROM(str.encode(rom_path + game_name + '.bin'))
self.legal_actions = self.ale.getMinimalActionSet()
self.nb_actions = len(self.legal_actions)
(self.screen_width, self.screen_height) = self.ale.getScreenDims()
self._buffer = np.empty((self.screen_height, self.screen_width, 3),
dtype=np.uint8)
self.obs_showing = obs_showing
def __init__(self, rom_file, args):
from ale_python_interface import ALEInterface
self.ale = ALEInterface()
if args.display_screen:
self.ale.setBool('sound', True)
self.ale.setBool('display_screen', True)
self.ale.setInt('frame_skip', args.frame_skip)
self.ale.setFloat('repeat_action_probability',
args.repeat_action_probability)
self.ale.setBool('color_averaging', args.color_averaging)
if args.random_seed:
self.ale.setInt('random_seed', args.random_seed)
if args.record_screen_path:
if not os.path.exists(args.record_screen_path):
logger.info("Creating folder %s" % args.record_screen_path)
os.makedirs(args.record_screen_path)
logger.info("Recording screens to %s", args.record_screen_path)
self.ale.setString('record_screen_dir', args.record_screen_path)
if args.record_sound_filename:
logger.info("Recording sound to %s", args.record_sound_filename)
self.ale.setBool('sound', True)
self.ale.setString('record_sound_filename',
args.record_sound_filename)
self.ale.loadROM(rom_file)
if args.minimal_action_set:
self.actions = self.ale.getMinimalActionSet()
logger.info("Using minimal action set with size %d" %
len(self.actions))
else:
self.actions = self.ale.getLegalActionSet()
logger.info("Using full action set with size %d" %
len(self.actions))
logger.debug("Actions: " + str(self.actions))
self.screen_width = args.screen_width
self.screen_height = args.screen_height
self.life_lost = False
def __init__(self,
rom_path,
n_last_screens=4,
frame_skip=4,
treat_life_lost_as_terminal=True,
crop_or_scale='scale',
max_start_nullops=30,
record_screen_dir=None,
render=False,
max_episode_length=None,
max_time=None):
self.frame_skip = frame_skip
self.n_last_screens = n_last_screens
self.treat_life_lost_as_terminal = treat_life_lost_as_terminal
self.crop_or_scale = crop_or_scale
self.max_start_nullops = max_start_nullops
self.max_episode_length = max_episode_length
self.max_time = max_time
ale = ALEInterface()
# Use numpy's random state
seed = np.random.randint(0, 2**16)
ale.setInt(b'random_seed', seed)
ale.setFloat(b'repeat_action_probability', 0.0)
ale.setBool(b'color_averaging', False)
if record_screen_dir is not None:
ale.setString(b'record_screen_dir', str.encode(record_screen_dir))
if render:
if sys.platform == 'darwin':
import pygame
pygame.init()
ale.setBool(b'sound', False) # Sound doesn't work on OSX
elif sys.platform.startswith('linux'):
ale.setBool(b'sound', True)
ale.setBool(b'display_screen', True)
ale.loadROM(str.encode(rom_path))
self.ale = ale
self.__exceed_max = False
self.legal_actions = ale.getMinimalActionSet()
self.reset()
def __init__(self, env_name, display=False, no_op_max=7):
self.ale = ALEInterface()
self.ale.setInt(b'random_seed', 113 * np.random.randint(0, 5))
self.ale.setFloat(b'repeat_action_probability', 0.0)
self.ale.setBool(b'color_averaging', True)
self.ale.setInt(b'frame_skip', 4)
self._no_op_max = no_op_max
if display:
self._setup_display()
rom_name = env_name + '.bin'
self.ale.loadROM(rom_name.encode('ascii'))
# collect minimal action set
self.real_actions = self.ale.getMinimalActionSet()
# height=210, width=160
self._screen = np.empty((210, 160, 1), dtype=np.uint8)
def main():
if len(sys.argv) < 2:
dir_rom = '/Users/lguan/Documents/Study/Research/Atari-2600-Roms/T-Z/Tennis.bin'
else:
dir_rom = sys.argv[1]
ale = ALEInterface()
# Get & Set the desired settings
ale.setInt(b'random_seed', 123)
# Set USE_SDL to true to display the screen. ALE must be compilied
# with SDL enabled for this to work. On OSX, pygame init is used to
# proxy-call SDL_main.
USE_SDL = True
if USE_SDL:
# mac OS
if sys.platform == 'darwin':
pygame.init()
ale.setBool('sound', False) # Sound doesn't work on OSX
elif sys.platform.startswith('linux'):
ale.setBool('sound', True)
ale.setBool('display_screen', True)
# Load the ROM file
rom_file = str.encode(dir_rom)
print('- Loading ROM - %s' % dir_rom)
ale.loadROM(rom_file)
print('- Complete loading ROM')
legal_actions = ale.getMinimalActionSet()
# Play 10 episodes
for episode in range(10):
total_reward = 0
while not ale.game_over():
a = legal_actions[np.random.randint(legal_actions.size)]
# Apply an action and get the resulting reward
reward = ale.act(a)
total_reward += reward
print('Episode %d ended with score: %d' % (episode, total_reward))
ale.reset_game()
def __init__(self,rom_name):
# 1º Passo: carregamos o jogo e definimos seus parâmetros
self.ale = ALEInterface()
self.max_frames_per_episode = self.ale.getInt(b"max_num_frames_per_episode")
self.ale.setInt(b"random_seed",123)
self.ale.setInt(b"frame_skip",4)
self.ale.loadROM(('game/' + rom_name).encode())
self.screen_width,self.screen_height = self.ale.getScreenDims()
self.legal_actions = self.ale.getMinimalActionSet()
self.action_map = dict()
for i in range(len(self.legal_actions)):
self.action_map[self.legal_actions[i]] = i
# 2º Passo: criamos a janela para exibição
self.windowname = rom_name
cv2.startWindowThread()
cv2.namedWindow(rom_name)
def __init__(self, rom_name, vis, windowname='preview'):
self.ale = ALEInterface()
# When it starts
self.ale.setInt("random_seed", 123)
# Skipping 4 frames
self.ale.setInt("frame_skip", 4)
self.ale.loadROM('roms/' + rom_name)
self.legal_actions = self.ale.getMinimalActionSet()
print('Actions : %s' % self.legal_actions)
self.action_map = dict()
self.windowname = windowname
# Raw atari frames, 210 * 160 pixel images
self.screen_width, self.screen_height = self.ale.getScreenDims()
print("widht/height: " + str(self.screen_width) + "/" + str(self.screen_height))
# Visualize
self.vis = vis
if vis:
cv2.startWindowThread()
cv2.namedWindow(self.windowname)
def __init__(self, rom_file, args):
from ale_python_interface import ALEInterface
self.ale = ALEInterface()
# Set ALE configuration
self.ale.setInt(b'frame_skip', args.frame_skip)
self.ale.setFloat(b'repeat_action_probability',
args.repeat_action_probability)
self.ale.setBool(b'color_averaging', args.color_averaging)
if args.random_seed:
self.ale.setInt(b'random_seed', args.random_seed)
if args.record_screen_path:
if not os.path.exists(args.record_screen_path):
os.makedirs(args.record_screen_path)
self.ale.setString(b'record_screen_dir',
args.record_screen_path.encode())
if args.record_sound_filename:
self.ale.setBool(b'sound', True)
self.ale.setString(b'record_sound_filename',
args.record_sound_filename.encode())
# Load ROM
self.ale.loadROM(rom_file.encode())
# Set game difficulty and mode (after loading)
self.ale.setDifficulty(args.game_difficulty)
self.ale.setMode(args.game_mode)
# Whether to use minimum set or set
if args.minimal_action_set:
self.actions = self.ale.getMinimalActionSet()
else:
self.actions = self.ale.getLegalActionSet()
# Life lost control
self.life_lost = False
# Initialize base class
super(ALEEnvironment, self).__init__(args)
