class InvertedDoublePendulumBulletEnv(MujocoXmlBaseBulletEnv):
def __init__(self):
self.robot = InvertedDoublePendulum()
MujocoXmlBaseBulletEnv.__init__(self, self.robot)
def create_single_player_scene(self):
return SingleRobotEmptyScene(gravity=9.8,
timestep=0.0165,
frame_skip=1)
def _step(self, a):
self.robot.apply_action(a)
self.scene.global_step()
state = self.robot.calc_state() # sets self.pos_x self.pos_y
# upright position: 0.6 (one pole) + 0.6 (second pole) * 0.5 (middle of second pole) = 0.9
# using <site> tag in original xml, upright position is 0.6 + 0.6 = 1.2, difference +0.3
dist_penalty = 0.01 * self.robot.pos_x**2 + (self.robot.pos_y + 0.3 -
2)**2
# v1, v2 = self.model.data.qvel[1:3] TODO when this fixed https://github.com/bulletphysics/bullet3/issues/1040
#vel_penalty = 1e-3 * v1**2 + 5e-3 * v2**2
vel_penalty = 0
alive_bonus = 10
done = self.robot.pos_y + 0.3 <= 1
self.rewards = [
float(alive_bonus),
float(-dist_penalty),
float(-vel_penalty)
]
self.HUD(state, a, done)
return state, sum(self.rewards), done, {}
def camera_adjust(self):
self.camera.move_and_look_at(0, 1.2, 1.2, 0, 0, 0.5)
class InvertedDoublePendulumBulletEnv(MJCFBaseBulletEnv):
def __init__(self):
self.robot = InvertedDoublePendulum()
MJCFBaseBulletEnv.__init__(self, self.robot)
self.stateId = -1
def create_single_player_scene(self, bullet_client):
return SingleRobotEmptyScene(bullet_client, gravity=9.8, timestep=0.0165, frame_skip=1)
def _reset(self):
if (self.stateId>=0):
self._p.restoreState(self.stateId)
r = MJCFBaseBulletEnv._reset(self)
if (self.stateId<0):
self.stateId = self._p.saveState()
return r
def _step(self, a):
self.robot.apply_action(a)
self.scene.global_step()
state = self.robot.calc_state() # sets self.pos_x self.pos_y
# upright position: 0.6 (one pole) + 0.6 (second pole) * 0.5 (middle of second pole) = 0.9
# using <site> tag in original xml, upright position is 0.6 + 0.6 = 1.2, difference +0.3
dist_penalty = 0.01 * self.robot.pos_x ** 2 + (self.robot.pos_y + 0.3 - 2) ** 2
# v1, v2 = self.model.data.qvel[1:3] TODO when this fixed https://github.com/bulletphysics/bullet3/issues/1040
#vel_penalty = 1e-3 * v1**2 + 5e-3 * v2**2
vel_penalty = 0
alive_bonus = 10
done = self.robot.pos_y + 0.3 <= 1
self.rewards = [float(alive_bonus), float(-dist_penalty), float(-vel_penalty)]
self.HUD(state, a, done)
return state, sum(self.rewards), done, {}
def camera_adjust(self):
self.camera.move_and_look_at(0,1.2,1.2, 0,0,0.5)
def __init__(self):
self.robot = InvertedDoublePendulum()
MJCFBaseBulletEnv.__init__(self, self.robot)
self.stateId = -1
initial_boundary_path = ROOT + "/initial_space/" + self.__class__.__name__ + "-v0/boundary.npy"
boundary = np.load(initial_boundary_path)
self.initial_space = spaces.Box(low=boundary[0], high=boundary[1])
def __init__(self):
self.robot = InvertedDoublePendulum()
MJCFBaseBulletEnv.__init__(self, self.robot)
self.stateId = -1
self.torqueForce = 200 # In double pendulum the initial torqueForce is 200
self.gravity = 9.8
self.pole1Mass = 5
self.pole2Mass = 5
self.OGtorqueForce = 200 # In double pendulum the initial torqueForce is 200
self.OGgravity = 9.8
self.OGpole1Mass = 5
self.OGpole2Mass = 5
class InvertedDoublePendulumBulletEnv(MJCFBaseBulletEnv):
def __init__(self):
self.robot = InvertedDoublePendulum()
MJCFBaseBulletEnv.__init__(self, self.robot)
self.stateId = -1
initial_boundary_path = ROOT + "/initial_space/" + self.__class__.__name__ + "-v0/boundary.npy"
boundary = np.load(initial_boundary_path)
self.initial_space = spaces.Box(low=boundary[0], high=boundary[1])
def create_single_player_scene(self, bullet_client):
return SingleRobotEmptyScene(bullet_client,
gravity=9.8,
timestep=0.0165,
frame_skip=1)
def reset(self, **kwargs):
if (self.stateId >= 0):
self._p.restoreState(self.stateId)
r = MJCFBaseBulletEnv.reset(self, **kwargs)
if (self.stateId < 0):
self.stateId = self._p.saveState()
return r
def step(self, a):
self.robot.apply_action(a)
self.scene.global_step()
state = self.robot.calc_state() # sets self.pos_x self.pos_y
# upright position: 0.6 (one pole) + 0.6 (second pole) * 0.5 (middle of second pole) = 0.9
# using <site> tag in original xml, upright position is 0.6 + 0.6 = 1.2, difference +0.3
dist_penalty = 0.01 * self.robot.pos_x**2 + (self.robot.pos_y + 0.3 -
2)**2
# v1, v2 = self.model.data.qvel[1:3] TODO when this fixed https://github.com/bulletphysics/bullet3/issues/1040
#vel_penalty = 1e-3 * v1**2 + 5e-3 * v2**2
vel_penalty = 0
alive_bonus = 10
done = self.robot.pos_y + 0.3 <= 1
self.rewards = [
float(alive_bonus),
float(-dist_penalty),
float(-vel_penalty)
]
self.HUD(state, a, done)
return state, sum(self.rewards) / 10000, done, {}
def camera_adjust(self):
self.camera.move_and_look_at(0, 1.2, 1.2, 0, 0, 0.5)
def __init__(self): self.robot = InvertedDoublePendulum() MJCFBaseBulletEnv.__init__(self, self.robot) self.stateId = -1
def __init__(self):
self.robot = InvertedDoublePendulum()
MJCFBaseBulletEnv.__init__(self, self.robot)
self.stateId = -1
def __init__(self):
self.robot = InvertedDoublePendulum()
MujocoXmlBaseBulletEnv.__init__(self, self.robot)
class InvertedDoublePendulumBulletEnv(MJCFBaseBulletEnv):
def __init__(self):
self.robot = InvertedDoublePendulum()
MJCFBaseBulletEnv.__init__(self, self.robot)
self.stateId = -1
self.torqueForce = 200 # In double pendulum the initial torqueForce is 200
self.gravity = 9.8
self.pole1Mass = 5
self.pole2Mass = 5
self.OGtorqueForce = 200 # In double pendulum the initial torqueForce is 200
self.OGgravity = 9.8
self.OGpole1Mass = 5
self.OGpole2Mass = 5
def get_features(self):
return self.torqueForce, self.gravity, self.pole1Mass, self.pole2Mass
def reset_features(self):
self.torqueForce = self.OGtorqueForce
self.gravity = self.OGgravity
self.pole1Mass = self.OGpole1Mass
self.pole2Mass = self.OGpole2Mass
def set_features(self, features=[200, 9.8, 5, 5]):
self.reset()
torqueForce = features[0]
gravity = features[1]
pole1Mass = features[2]
pole2Mass = features[3]
self.torqueForce = torqueForce
self.gravity = gravity
self.pole1Mass = pole1Mass
self.pole2Mass = pole2Mass
self._p.setGravity(0, 0, -self.gravity)
bodyIndex = self.robot.parts["pole"].bodyIndex
bodyUniqueId = self.robot.parts["pole"].bodies[bodyIndex]
partIndex = self.robot.parts["pole"].bodyPartIndex
self._p.changeDynamics(bodyUniqueId, partIndex, mass=self.pole1Mass)
bodyIndex = self.robot.parts["pole2"].bodyIndex
bodyUniqueId = self.robot.parts["pole2"].bodies[bodyIndex]
partIndex = self.robot.parts["pole2"].bodyPartIndex
self._p.changeDynamics(bodyUniqueId, partIndex, mass=self.pole2Mass)
def randomize(self, level=0):
self.reset()
low_window = 0.95
high_window = 1.05
lower_window = 0.9
higher_window = 1.15
np.random.seed()
if (level == 0):
return
if (level == 1):
self.torqueForce = self.np_random.uniform(
low=self.OGtorqueForce * low_window,
high=self.OGtorqueForce * high_window)
self.gravity = self.np_random.uniform(
low=self.OGgravity * low_window,
high=self.OGgravity * high_window)
self.pole1Mass = self.np_random.uniform(
low=self.OGpole1Mass * low_window,
high=self.OGpole1Mass * high_window)
self.pole2Mass = self.np_random.uniform(
low=self.OGpole2Mass * low_window,
high=self.OGpole2Mass * high_window)
elif (level == 2):
if (self.np_random.uniform(low=0, high=1.0) > 0.5):
self.torqueForce = self.np_random.uniform(
low=self.OGtorqueForce * lower_window,
high=self.OGtorqueForce * low_window)
else:
self.torqueForce = self.np_random.uniform(
low=self.OGtorqueForce * high_window,
high=self.OGtorqueForce * higher_window)
if (self.np_random.uniform(low=0, high=1.0) > 0.5):
self.gravity = self.np_random.uniform(
low=self.OGgravity * lower_window,
high=self.OGgravity * low_window)
else:
self.gravity = self.np_random.uniform(
low=self.OGgravity * high_window,
high=self.OGgravity * higher_window)
if (self.np_random.uniform(low=0, high=1.0) > 0.5):
self.pole1Mass = self.np_random.uniform(
low=self.OGpole1Mass * lower_window,
high=self.OGpole1Mass * low_window)
else:
self.pole1Mass = self.np_random.uniform(
low=self.OGpole1Mass * high_window,
high=self.OGpole1Mass * higher_window)
if (self.np_random.uniform(low=0, high=1.0) > 0.5):
self.pole2Mass = self.np_random.uniform(
low=self.OGpole2Mass * lower_window,
high=self.OGpole2Mass * low_window)
else:
self.pole2Mass = self.np_random.uniform(
low=self.OGpole2Mass * high_window,
high=self.OGpole2Mass * higher_window)
else:
print(
"ERROR: Invalid randomization mode selected, only 0, 1, or 2 are available"
)
#print("randomizing, torque: ", self.torqueForce , " gravity ", self.gravity)
self._p.setGravity(0, 0, -self.gravity)
bodyIndex = self.robot.parts["pole"].bodyIndex
bodyUniqueId = self.robot.parts["pole"].bodies[bodyIndex]
partIndex = self.robot.parts["pole"].bodyPartIndex
self._p.changeDynamics(bodyUniqueId, partIndex, mass=self.pole1Mass)
bodyIndex = self.robot.parts["pole2"].bodyIndex
bodyUniqueId = self.robot.parts["pole2"].bodies[bodyIndex]
partIndex = self.robot.parts["pole2"].bodyPartIndex
self._p.changeDynamics(bodyUniqueId, partIndex, mass=self.pole2Mass)
def create_single_player_scene(self, bullet_client):
return SingleRobotEmptyScene(bullet_client,
gravity=9.8,
timestep=0.0165,
frame_skip=1)
def reset(self):
if (self.stateId >= 0):
self._p.restoreState(self.stateId)
r = MJCFBaseBulletEnv.reset(self)
if (self.stateId < 0):
self.stateId = self._p.saveState()
self._p.setGravity(0, 0, -self.gravity)
bodyIndex = self.robot.parts["pole"].bodyIndex
bodyUniqueId = self.robot.parts["pole"].bodies[bodyIndex]
partIndex = self.robot.parts["pole"].bodyPartIndex
self._p.changeDynamics(bodyUniqueId, partIndex, mass=self.pole1Mass)
bodyIndex = self.robot.parts["pole2"].bodyIndex
bodyUniqueId = self.robot.parts["pole2"].bodies[bodyIndex]
partIndex = self.robot.parts["pole2"].bodyPartIndex
self._p.changeDynamics(bodyUniqueId, partIndex, mass=self.pole2Mass)
return r
def apply_action(self, a):
assert (np.isfinite(a).all())
self.robot.slider.set_motor_torque(self.torqueForce *
float(np.clip(a[0], -1, +1)))
def step(self, a):
#print("GLOBAL: torqueForce: ", self.torqueForce, " gravity: ", self.gravity, " pole1Mass: ", self.pole1Mass, " pole2Mass: ", self.pole2Mass)
#self.robot.apply_action(a)
self.apply_action(a)
self.scene.global_step()
state = self.robot.calc_state() # sets self.pos_x self.pos_y
# upright position: 0.6 (one pole) + 0.6 (second pole) * 0.5 (middle of second pole) = 0.9
# using <site> tag in original xml, upright position is 0.6 + 0.6 = 1.2, difference +0.3
dist_penalty = 0.01 * self.robot.pos_x**2 + (self.robot.pos_y + 0.3 -
2)**2
# v1, v2 = self.model.data.qvel[1:3] TODO when this fixed https://github.com/bulletphysics/bullet3/issues/1040
#vel_penalty = 1e-3 * v1**2 + 5e-3 * v2**2
vel_penalty = 0
alive_bonus = 10
done = self.robot.pos_y + 0.3 <= 1
self.rewards = [
float(alive_bonus),
float(-dist_penalty),
float(-vel_penalty)
]
self.HUD(state, a, done)
return state, sum(self.rewards), done, {}
def camera_adjust(self):
self.camera.move_and_look_at(0, 1.2, 1.2, 0, 0, 0.5)
