def __init__(self, frame_skip, verbose=False):
EzPickle.__init__(self)
if frame_skip < 1:
raise ValueError("The value of frame_skip must be at least 1")
self.seed()
self.contactListener_keepref = FrictionDetector(self)
self.world = Box2D.b2World(
(0, 0), contactListener=self.contactListener_keepref)
self.viewer = None
self.invisible_state_window = None
self.invisible_video_window = None
self.road = None
self.car = None
self.reward = 0.0
self.prev_reward = 0.0
self.verbose = verbose
self.fd_tile = fixtureDef(shape=polygonShape(
vertices=[(0, 0), (1, 0), (1, -1), (0, -1)]))
self.action_space = spaces.Box(np.array([-1, 0, 0], dtype=np.float32),
np.array([+1, +1, +1],
dtype=np.float32),
dtype=np.float32) # steer, gas, brake
self.observation_space = spaces.Box(low=0,
high=255,
shape=(STATE_H, STATE_W, 3),
dtype=np.float32)
self.state = np.zeros([STATE_H, STATE_W, 3], dtype=np.float32)
self.frame_skip = frame_skip
def __init__(self):
EzPickle.__init__(self)
self.seed()
self.viewer = None
self.world = Box2D.b2World()
self.moon = None
self.lander = None
self.particles = []
self.prev_reward = None
# useful range is -1 .. +1, but spikes can be higher
self.observation_space = spaces.Box(-np.inf,
np.inf,
shape=(8, ),
dtype=np.float32)
if self.continuous:
# Action is two floats [main engine, left-right engines].
# Main engine: -1..0 off, 0..+1 throttle from 50% to 100% power. Engine can't work with less than 50% power.
# Left-right: -1.0..-0.5 fire left engine, +0.5..+1.0 fire right engine, -0.5..0.5 off
self.action_space = spaces.Box(-1, +1, (2, ), dtype=np.float32)
else:
# Nop, fire left engine, main engine, right engine
self.action_space = spaces.Discrete(4)
self.reset()
def __init__(self, **kwargs):
default_kwargs = dict(block_gripper=True,
reward_type='sparse',
distance_threshold=0.05)
merged = {**default_kwargs, **kwargs}
super().__init__(task=YumiTask.REACH, **merged)
EzPickle.__init__(self)
def __init__(self, map_size, reward_args, max_frames, seed):
EzPickle.__init__(self, map_size, reward_args, max_frames, seed)
env = magent.GridWorld(get_config(map_size, **reward_args), map_size=map_size)
self.leftID = 0
self.rightID = 1
names = ["red", "blue"]
super().__init__(env, env.get_handles(), names, map_size, max_frames, seed)
def __init__(self,
reward_type='sparse',
assets_file='slide.xml',
eval_args=None):
'''
slide2.xml: deformable
slide3.xml: normal but with surrounding box
'''
initial_qpos = {
'robot0:slide0': 0.05,
'robot0:slide1': 0.48,
'robot0:slide2': 0.0,
'object0:joint': [1.32441906, 0.75018422, 0.5, 1., 0., 0., 0.],
}
self.max_angle = 25. / 180. * np.pi
self.eval_args = eval_args
FetchEnv.__init__(self,
'fetch/{}'.format(assets_file),
has_object=True,
block_gripper=True,
n_substeps=20,
gripper_extra_height=-0.02,
target_in_the_air=False,
target_offset=np.array([0.4, 0.0, 0.0]),
obj_range=0.1,
target_range=0.3,
distance_threshold=0.05,
initial_qpos=initial_qpos,
reward_type=reward_type)
EzPickle.__init__(self)
def __init__(self, observation_size, action_size,
initial_random_force=30,
out_of_bounds_penalty=100,
max_steps=1000,
max_angle=45,
bounds=10,
initial_altitude=10):
EzPickle.__init__(self)
self.seed()
self.viewer = None
self.pose = None
self.action_size = action_size
# useful range is -1 .. +1, but spikes can be higher
self.observation_space = spaces.Box(-np.inf,
+np.inf,
shape=(observation_size,),
dtype=np.float32)
# Action is two floats [throttle, roll]
self.action_space = spaces.Box(-1,
+1,
(action_size,),
dtype=np.float32)
# Pre-convert max-angle degrees to radians
self.max_angle = np.radians(max_angle)
# Grab remaining settings
self.initial_random_force = initial_random_force
self.out_of_bounds_penalty = out_of_bounds_penalty
self.max_steps = max_steps
self.bounds = bounds
self.initial_altitude = initial_altitude
def __init__(self, seed=None, verbose=0):
EzPickle.__init__(self)
#self.contactListener_keepref = FrictionDetector(self)
#self.world = Box2D.b2World((0,0), contactListener=self.contactListener_keepref)
self.world = Box2D.b2World((0, 0))
self.id = self.seed(seed=seed)
self.viewer = None
self.invisible_state_window = None
self.invisible_video_window = None
self.labels = []
self.road = None
self.car = None
self.dt = 1.0 / FPS
self.action = np.zeros((3, ))
self.state = np.zeros((11, ))
self.reward = 0.0
self.prev_reward = 0.0
self.verbose = verbose
self.track_width = TRACK_WIDTH
self.fd_tile = fixtureDef(shape=polygonShape(
vertices=[(0, 0), (1, 0), (1, -1), (0, -1)]))
self.action_space = spaces.Box(np.array([-1, 0, 0]),
np.array([1, 1, 1]),
dtype=np.float32)
self.observation_space = spaces.Box(low=-np.inf,
high=np.inf,
shape=(11, ),
dtype=np.float32)
def __init__(self):
EzPickle.__init__(self)
self.seed(5)
self.contactListener_keepref = FrictionDetector(self)
self.world = Box2D.b2World(
(0, 0), contactListener=self.contactListener_keepref)
self.viewer = None
self.invisible_state_window = None
self.invisible_video_window = None
self.road = None
self.car = None
self.reward = 0.0
self.prev_reward = 0.0
self.action_space = spaces.Box(np.array([-1, 0, 0]),
np.array([+1, +1, +1]),
dtype=np.float32) # steer, gas, brake
self.observation_space = spaces.Box(low=0,
high=255,
shape=(STATE_H, STATE_W, 3),
dtype=np.uint8)
self.laps = 0
self.on_road = True
self.ctrl_pts = None
self.outward_vectors = None
self.angles = None
self.angle_deltas = None
self.original_road_poly = None
self.indices = None
self.my_state = State()
self.next_road_tile = 0
def __init__(self):
EzPickle.__init__(self)
self.seed()
self.viewer = None
self.world = Box2D.b2World()
self.moon = None
self.lander = None
self.particles = []
self.terrain_y_values = np.array(
[1, 2, 3, 2, 5, 1, 2, 4, 5, 3, 1, 1, 3,
6]) # self.np_random.uniform(0, 400/60, size=(12,) )
self.goal_x = 8 # len(self.terrain_y_values)//2
self.prev_reward = None
# useful range is -1 .. +1, but spikes can be higher
self.observation_space = spaces.Box(-np.inf,
np.inf,
shape=(8, ),
dtype=np.float32)
if self.continuous:
# Action is two floats [main engine, left-right engines].
# Main engine: -1..0 off, 0..+1 throttle from 50% to 100% power. Engine can't work with less than 50% power.
# Left-right: -1.0..-0.5 fire left engine, +0.5..+1.0 fire right engine, -0.5..0.5 off
self.action_space = spaces.Box(-1, +1, (2, ), dtype=np.float32)
else:
# Nop, fire left engine, main engine, right engine
self.action_space = spaces.Discrete(4)
self.reset()
def __init__(self, env_config):
EzPickle.__init__(self)
self.seed()
self.viewer = None
self.world = Box2D.b2World()
self.terrain = None
self.hull = None
self.prev_shaping = None
self.env_config = env_config
self.low_friction = env_config["nuisance"]["low"]
self.high_friction = env_config["nuisance"]["high"]
self.friction = env_config["nuisance"].get("value", None)
self.reset()
high = np.array([np.inf] * 24)
self.observation_space = spaces.Box(np.append([self.low_friction],
-high),
np.append([self.high_friction],
high),
dtype=np.float32)
self.action_space = spaces.Box(np.array([-1, -1, -1, -1]),
np.array([1, 1, 1, 1]),
dtype=np.float32)
def __init__(self, obstacle_prob, verbose=1, sensors_activated=True):
EzPickle.__init__(self)
self.obstacles_positions = [
] # sera rempli de 4-tuples contenant la position de chaque mur
self.seed()
self.contactListener_keepref = FrictionDetector(self)
self.world = Box2D.b2World(
(0, 0), contactListener=self.contactListener_keepref)
self.viewer = None
self.invisible_state_window = None
self.invisible_video_window = None
self.road = None
self.car = None
self.reward = 0.0
self.prev_reward = 0.0
self.times_succeeded = 0
self.verbose = verbose
self.sensors_activated = sensors_activated
self.fd_tile = fixtureDef(shape=polygonShape(
vertices=[(0, 0), (1, 0), (1, -1), (0, -1)]))
self.action_space = spaces.Box(np.array([-1, 0, 0]),
np.array([+1, +1, +1]),
dtype=np.float32) # steer, gas, brake
self.observation_space = spaces.Box(low=0,
high=255,
shape=(STATE_H, STATE_W, 3),
dtype=np.uint8)
self.random_obs = 0
global OBSTACLE_PROB
OBSTACLE_PROB = obstacle_prob
def __init__(self):
EzPickle.__init__(self)
self.seed()
self.viewer = None
self.world = Box2D.b2World()
self.moon = None
self.lander = None
self.particles = []
self.prev_reward = None
# useful range is -1 .. +1, but spikes can be higher
self.observation_space = spaces.Box(-np.inf, np.inf, shape=(8,), dtype=np.float32)
if self.continuous:
# Action is two floats [main engine, left-right engines].
# Main engine: -1..0 off, 0..+1 throttle from 50% to 100% power. Engine can't work with less than 50% power.
# Left-right: -1.0..-0.5 fire left engine, +0.5..+1.0 fire right engine, -0.5..0.5 off
self.action_space = spaces.Box(-1, +1, (2,), dtype=np.float32)
else:
# Nop, fire left engine, main engine, right engine
self.action_space = spaces.Discrete(4)
self.reset()
def __init__(self, random_seed=None):
self.robot_components = []
self.drawlist = []
EzPickle.__init__(self)
self.seed(random_seed)
self.viewer = None
self.tree_morphology = None
self.scroll = 0 # 12-VIEWPORT_W/SCALE/5
self.scroll_y = 0
self.robot = None
self.world = Box2D.b2World()
self.terrain = None
self.hull = None
self.wod = None
self.prev_shaping = None
self.fd_polygon = fixtureDef(
shape=polygonShape(vertices=[(0, 0), (1, 0), (1, -1), (0, -1)]),
friction=FRICTION)
self.fd_edge = fixtureDef(
shape=edgeShape(vertices=[(0, 0), (1, 1)]),
friction=FRICTION,
categoryBits=0x0001,
)
high = np.array([np.inf] * 24)
self.action_space = spaces.Box(np.array([-1, -1, -1, -1]),
np.array([1, 1, 1, 1]),
dtype=np.float32)
self.observation_space = spaces.Box(-high, high, dtype=np.float32)
def __init__(self):
EzPickle.__init__(self)
self.seed()
self.__contactListener_keepref = ContactListener(self)
self.__world = Box2D.b2World(
(0, 0), contactListener=self.__contactListener_keepref)
self.viewer = None
self.__robots = []
self.__robot_name = [ID_R1, ID_B1, ID_R2, ID_B2]
self.__obstacle = None
self.__area_buff = None
self.__projectile = None
#self.__area_supply = None
self.__callback_autoaim = callback_capture()
self.reward = 0.0
self.prev_reward = 0.0
self.actions = None
self.action = [Action(), Action()]
self.state = None
self.step_reward = 0
self.conflict = False
self.o_ang = 0
self.o_dis = 8.0
self.control = False
def __init__(self,
goal_reward=10,
actuation_cost_coeff=30.0,
distance_cost_coeff=1.0,
init_sigma=0.1):
EzPickle.__init__(**locals())
self.dynamics = PointDynamics(dim=2, sigma=0)
self.init_mu = np.zeros(2, dtype=np.float32)
self.init_sigma = init_sigma
self.goal_positions = np.array((
(-5, 0),
(5, 0),
(0, 5),
(0, -5),
),
dtype=np.float32)
self.goal_threshold = 1.0
self.goal_reward = goal_reward
self.action_cost_coeff = actuation_cost_coeff
self.distance_cost_coeff = distance_cost_coeff
self.xlim = (-7, 7)
self.ylim = (-7, 7)
self.vel_bound = 1.
self.reset()
self.observation = None
self._ax = None
self._env_lines = []
self.fixed_plots = None
self.dynamic_plots = []
def __init__(self):
EzPickle.__init__(self)
self.seed(101)
self.viewer = None
self.world = Box2D.b2World()
self.terrain = None
self.hull = None
self.prev_shaping = None
self.counter = self.np_random.randint(1, 3)
self.velocity_ = self.np_random.uniform(-1, 1)
self.counter2 = self.np_random.randint(3, 5)
self.counter3 = self.np_random.randint(TERRAIN_GRASS / 2,
TERRAIN_GRASS)
self.init_force = self.np_random.uniform(-INITIAL_RANDOM,
INITIAL_RANDOM)
self.fd_polygon = fixtureDef(
shape=polygonShape(vertices=[(0, 0), (1, 0), (1, -1), (0, -1)]),
friction=FRICTION)
self.fd_edge = fixtureDef(
shape=edgeShape(vertices=[(0, 0), (1, 1)]),
friction=FRICTION,
categoryBits=0x0001,
)
self.reset()
high = np.array([np.inf] * 24)
self.action_space = spaces.Box(np.array([-1, -1, -1, -1]),
np.array([1, 1, 1, 1]),
dtype=np.float32)
self.observation_space = spaces.Box(-high, high, dtype=np.float32)
def __init__(self, net, graph: tf.Graph, mixfrac=1.0, maxiter=25):
EzPickle.__init__(self, net, mixfrac, maxiter)
self.net = net
self.mixfrac = mixfrac
self.x_nx = net.input
ypred_ny = net
with graph.as_default():
ytarg_ny = tf.placeholder(dtype=ypred_ny.dtype,
shape=(None, None)) # T.matrix("ytarg")
var_list = net.trainable_weights
l2 = 1e-3 * tf.add_n([tf.reduce_sum(tf.square(v)) for v in var_list])
N = tf.cast(tf.shape(self.x_nx)[0], dtype=tf.float32)
mse = tf.reduce_sum(tf.square(ytarg_ny - ypred_ny)) / N
symb_args = [self.x_nx, ytarg_ny]
loss = mse + l2
self.opt = optimizers.LbfgsOptimizer(loss,
var_list,
symb_args,
maxiter=maxiter,
extra_losses={
"mse": mse,
"l2": l2
})
def __init__(self, verbose=1, lap_complete_percent=0.95):
EzPickle.__init__(self)
pygame.init()
self.contactListener_keepref = FrictionDetector(
self, lap_complete_percent)
self.world = Box2D.b2World(
(0, 0), contactListener=self.contactListener_keepref)
self.screen = None
self.clock = None
self.isopen = True
self.invisible_state_window = None
self.invisible_video_window = None
self.road = None
self.car = None
self.reward = 0.0
self.prev_reward = 0.0
self.verbose = verbose
self.new_lap = False
self.fd_tile = fixtureDef(shape=polygonShape(
vertices=[(0, 0), (1, 0), (1, -1), (0, -1)]))
# This will throw a warning in tests/envs/test_envs in utils/env_checker.py as the space is not symmetric
# or normalised however this is not possible here so ignore
self.action_space = spaces.Box(
np.array([-1, 0, 0]).astype(np.float32),
np.array([+1, +1, +1]).astype(np.float32),
) # steer, gas, brake
self.observation_space = spaces.Box(low=0,
high=255,
shape=(STATE_H, STATE_W, 3),
dtype=np.uint8)
def __init__(self, max_episode_steps=50, reward_type='sparse'):
initial_qpos = {
'robot0:slide0': 0.405,
'robot0:slide1': 0.48,
'robot0:slide2': 0.0,
'object0:joint': [1.25, 0.53, 0.4, 1., 0., 0., 0.],
'pole0:joint': [1.55, 0.53, 0.4, 1., 0, 0., 0.],
}
self.object_x_offset = 0.3
self.object_y_offset = 0.2
self.pole_x_offset = 0.15
self.pole_y_offset = 0.0
fetch_env.FetchEnv.__init__(self,
MODEL_XML_PATH,
has_object=True,
block_gripper=False,
n_substeps=20,
gripper_extra_height=0.2,
target_in_the_air=True,
target_offset=0.0,
obj_range=0.15,
target_range=0.15,
distance_threshold=0.05,
initial_qpos=initial_qpos,
reward_type=reward_type)
EzPickle.__init__(self)
self.max_episode_steps = max_episode_steps
def __init__(self, hardcore: bool = False):
EzPickle.__init__(self)
self.screen = None
self.clock = None
self.isopen = True
self.world = Box2D.b2World()
self.terrain = None
self.hull = None
self.prev_shaping = None
self.hardcore = hardcore
self.fd_polygon = fixtureDef(
shape=polygonShape(vertices=[(0, 0), (1, 0), (1, -1), (0, -1)]),
friction=FRICTION,
)
self.fd_edge = fixtureDef(
shape=edgeShape(vertices=[(0, 0), (1, 1)]),
friction=FRICTION,
categoryBits=0x0001,
)
high = np.array([np.inf] * 24).astype(np.float32)
self.action_space = spaces.Box(
np.array([-1, -1, -1, -1]).astype(np.float32),
np.array([1, 1, 1, 1]).astype(np.float32),
)
self.observation_space = spaces.Box(-high, high)
def __init__(self):
EzPickle.__init__(self)
self.seed()
self.viewer = None
self.world = Box2D.b2World()
self.moon = None
self.lander = None
self.particles = []
self.prev_reward = None
# useful range is -1 .. +1, but spikes can be higher
self.observation_space = spaces.Box(-np.inf,
np.inf,
shape=(8, ),
dtype=np.float32)
if self.mixed:
self.action_space = spaces.Tuple((
# Main engine - 0-off, 1-on
spaces.Discrete(2),
# Left-right: -1.0..-0.5 fire left engine, +0.5..+1.0 fire right engine, -0.5..0.5 off
spaces.Box(-1, +1, (1, ), dtype=np.float32),
))
self.reset()
def __init__(self, knock_reward: float = 0.5, gin_reward: float = 1.0):
EzPickle.__init__(self, knock_reward, gin_reward)
RLCardBase.__init__(self, "gin-rummy", 2, (5, 52))
self._knock_reward = knock_reward
self._gin_reward = gin_reward
self.env.game.judge.scorer.get_payoff = self._get_payoff
def __init__(self):
EzPickle.__init__(self)
self.seed()
self.viewer = None
self.world = Box2D.b2World()
self.terrain = None
self.hull = None
self.prev_shaping = None
self.fd_polygon = fixtureDef(
shape=polygonShape(vertices=[(0, 0), (1, 0), (1, -1), (0, -1)]),
friction=FRICTION)
self.fd_edge = fixtureDef(
shape=edgeShape(vertices=[(0, 0), (1, 1)]),
friction=FRICTION,
categoryBits=0x0001,
)
high = np.array([np.inf] * 28)
#self.action_space = spaces.Box(np.array([-1, -1, -1, -1]), np.array([1, 1, 1, 1]), dtype=np.float32)
self.observation_space = gym.spaces.Box(-high, high, dtype=np.float32)
self.action_space = MultiDiscrete([3, 21, 21, 21, 21])
#self.observation_shape = (24,)
#self.observation_space = gym.spaces.Box(low=-high, high=high, shape=self.observation_shape, dtype=np.float32)
self.valid_actions = []
self.state_machine = None
self.reset()
self.terminal = False
self.counter = 0
def __init__(self, verbose=1):
EzPickle.__init__(self)
self.seed_value = 0
self.seed()
self.contactListener_keepref = FrictionDetector(self)
self.world = Box2D.b2World(
(0, 0), contactListener=self.contactListener_keepref)
self.viewer = None
self.invisible_state_window = None
self.invisible_video_window = None
self.road = None
self.car = None
self.reward = 0.0
self.prev_reward = 0.0
self.verbose = verbose
self.wheels_on_road = 0
self.new_step = False
self.sem = 0
self.wheel_reward = 0.025
self.wheels = {}
self.action_space = spaces.Box(np.array([-1, 0, 0]),
np.array([+1, +1, +1]),
dtype=np.float32) # steer, gas, brake
self.observation_space = spaces.Box(low=0,
high=255,
shape=(STATE_H, STATE_W, 3),
dtype=np.uint8)
def __init__(self, verbose=1, **kwargs):
EzPickle.__init__(self)
self.seed()
self.road_color = ROAD_COLOR[:]
self.grass_color = [0.4, 0.8, 0.4, 1]
if 'modification' in kwargs:
self._modification_type = kwargs['modification']
else:
self._modification_type = ''
self.contactListener_keepref = FrictionDetector(self)
self.world = Box2D.b2World(
(0, 0), contactListener=self.contactListener_keepref)
self.viewer = None
self.invisible_state_window = None
self.invisible_video_window = None
self.road = None
self.car = None
self.reward = 0.0
self.prev_reward = 0.0
self.verbose = verbose
self.fd_tile = fixtureDef(shape=polygonShape(
vertices=[(0, 0), (1, 0), (1, -1), (0, -1)]))
self.action_space = spaces.Box(np.array([-1, 0, 0]),
np.array([+1, +1, +1]),
dtype=np.float32) # steer, gas, brake
self.observation_space = spaces.Box(low=0,
high=255,
shape=(STATE_H, STATE_W, 3),
dtype=np.uint8)
self.step_cnt = 0
def __init__(self, human_control=False, debug=False):
EzPickle.__init__(self)
self.seed()
self.human_control = human_control
self.debug = debug
self.viewer = TrialsViewer(self.viewport_width, self.viewport_height)
self.world = Box2D.b2World()
self.world.continuousPhysics = False # seems to affect joint limits
self.terrain = None
self.bike = Bike(self.world, self.init_x, self.init_y)
self.fd_edge = fixtureDef(
shape=edgeShape(vertices=[(0, 0), (1, 1)]),
friction=0.8,
categoryBits=0x0001,
)
if self.human_control:
self.move = [False for i in range(4)]
self.viewer.window.on_key_press = self.key_press
self.viewer.window.on_key_release = self.key_release
self._resets = 0
self.reset()
high = np.array([np.inf] * (self.lidar_count + 5))
self.action_space = spaces.Box(np.array([-1, -1, -1]),
np.array([1, 1, 1]),
dtype=np.float32)
self.observation_space = spaces.Box(-high, high, dtype=np.float32)
def __init__(self):
EzPickle.__init__(self)
self.seed()
self.contactListener_keepref = FrictionDetector(self)
self.world = Box2D.b2World(
(0, 0), contactListener=self.contactListener_keepref)
self.viewer = None
#self.invisible_state_window = None
#self.invisible_video_window = None
self.road = None
self.car = None
self.reward = 0.0
self.prev_reward = 0.0
self.init_state = (0.0, 0.0, 0.0)
self.aim_x = 5.0
self.aim_y = 10.0
self.aim_th = 0.0
self.action_space = spaces.Box(np.array([-1, 0, 0]),
np.array([+1, +1, +1]),
dtype=np.float32) # steer, gas, brake
self.observation_space = spaces.Box(low=0,
high=255,
shape=(STATE_H, STATE_W, 3),
dtype=np.uint8)
def __init__(self, verbose=1):
EzPickle.__init__(self)
self.seed()
self.contactListener_keepref = FrictionDetector(self)
self.world = Box2D.b2World(
(0, 0), contactListener=self.contactListener_keepref)
self.viewer = None
self.invisible_state_window = None
self.invisible_video_window = None
self.road = None
self.car = None
self.reward = 0.0
self.prev_reward = 0.0
self.verbose = verbose
self.fd_tile = fixtureDef(shape=polygonShape(
vertices=[(0, 0), (1, 0), (1, -1), (0, -1)]))
self.action_space = spaces.Box(np.array([-1, 0, 0]),
np.array([+1, +1, +1]),
dtype=np.float32) # steer, gas, brake
self.observation_space = spaces.Box(low=0,
high=255,
shape=(STATE_H, STATE_W, 3),
dtype=np.uint8)
def __init__(self, max_skew: float, seed=None):
self.rand_state = np.random.RandomState(seed=seed) if seed else None
self.VIEWPORT_H = skew_by(val=self.VIEWPORT_H, max_skew=max_skew, rand_state=self.rand_state)
self.VIEWPORT_W = skew_by(val=self.VIEWPORT_W, max_skew=max_skew, rand_state=self.rand_state)
self.max_skew = max_skew
super(NoisyLander, self).__init__()
EzPickle.__init__(self)
self.seed()
self.viewer = None
self.world = Box2D.b2World()
self.moon = None
self.lander = None
self.particles = []
self.prev_reward = None
# useful range is -1 .. +1, but spikes can be higher
self.observation_space = spaces.Box(-np.inf, np.inf, shape=(8,), dtype=np.float32)
if self.continuous:
# Action is two floats [main engine, left-right engines].
# Main engine: -1..0 off, 0..+1 throttle from 50% to 100% power. Engine can't work with less than 50% power.
# Left-right: -1.0..-0.5 fire left engine, +0.5..+1.0 fire right engine, -0.5..0.5 off
self.action_space = spaces.Box(-1, +1, (2,), dtype=np.float32)
else:
# Nop, fire left engine, main engine, right engine
self.action_space = spaces.Discrete(4)
self.reset()
def __init__(self):
EzPickle.__init__(self)
self.seed()
self.viewer = None
self.world = Box2D.b2World()
self.terrain = None
self.hull = None
self.prev_shaping = None
self.fd_polygon = fixtureDef(
shape=polygonShape(vertices=[(0, 0), (1, 0), (1, -1), (0, -1)]),
friction=FRICTION)
self.fd_edge = fixtureDef(
shape=edgeShape(vertices=[(0, 0), (1, 1)]),
friction=FRICTION,
categoryBits=0x0001,
)
self.reset()
high = np.array([np.inf] * 24)
self.action_space = spaces.Box(np.array([-1, -1, -1, -1]),
np.array([+1, +1, +1, +1]))
self.observation_space = spaces.Box(-high, high)
def __init__(self, map_size, reward_args, max_frames):
EzPickle.__init__(self, map_size, reward_args, max_frames)
env = magent.GridWorld(load_config(map_size, **reward_args))
handles = env.get_handles()
names = ["omnivore"]
super().__init__(env, handles[1:], names, map_size, max_frames)
def __init__(self):
EzPickle.__init__(self)
self.seed()
self.viewer = None
self.world = Box2D.b2World()
self.moon = None
self.landers = None
self.particles = []
def __init__(self):
EzPickle.__init__(self)
self.seed()
self.contactListener_keepref = FrictionDetector(self)
self.world = Box2D.b2World((0,0), contactListener=self.contactListener_keepref)
self.viewer = None
self.invisible_state_window = None
self.invisible_video_window = None
self.road = None
self.car = None
self.reward = 0.0
self.prev_reward = 0.0
self.action_space = spaces.Box( np.array([-1,0,0]), np.array([+1,+1,+1]), dtype=np.float32) # steer, gas, brake
self.observation_space = spaces.Box(low=0, high=255, shape=(STATE_H, STATE_W, 3), dtype=np.uint8)