class InvertedPendulumBulletEnv(MujocoXmlBaseBulletEnv):
def __init__(self):
self.robot = InvertedPendulum()
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
vel_penalty = 0
if self.robot.swingup:
reward = np.cos(self.robot.theta)
done = False
else:
reward = 1.0
done = np.abs(self.robot.theta) > .2
self.rewards = [float(reward)]
self.HUD(state, a, done)
return state, sum(self.rewards), done, {}
def camera_adjust(self):
self.camera.move_and_look_at(0, 1.2, 1.0, 0, 0, 0.5)
class InvertedPendulumBulletEnv(MJCFBaseBulletEnv):
def __init__(self):
self.robot = InvertedPendulum()
MJCFBaseBulletEnv.__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
vel_penalty = 0
if self.robot.swingup:
reward = np.cos(self.robot.theta)
done = False
else:
reward = 1.0
done = np.abs(self.robot.theta) > .2
self.rewards = [float(reward)]
self.HUD(state, a, done)
return state, sum(self.rewards), done, {}
def camera_adjust(self):
self.camera.move_and_look_at(0,1.2,1.0, 0,0,0.5)
def __init__(self):
self.robot = InvertedPendulum()
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 = InvertedPendulum()
MJCFBaseBulletEnv.__init__(self, self.robot)
self.stateId = -1
self.torqueForce = 100
self.gravity = 9.8
self.poleMass = 5
class InvertedPendulumBulletEnv(MJCFBaseBulletEnv):
def __init__(self):
self.robot = InvertedPendulum()
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):
#print("InvertedPendulumBulletEnv reset p.restoreState(",self.stateId,")")
self._p.restoreState(self.stateId)
r = MJCFBaseBulletEnv.reset(self, **kwargs)
if (self.stateId < 0):
self.stateId = self._p.saveState()
#print("InvertedPendulumBulletEnv reset self.stateId=",self.stateId)
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
vel_penalty = 0
if self.robot.swingup:
reward = np.cos(self.robot.theta)
done = False
else:
reward = 1.0
done = np.abs(self.robot.theta) > .2
self.rewards = [float(reward)]
self.HUD(state, a, done)
return state, sum(self.rewards), done, {}
def camera_adjust(self):
self.camera.move_and_look_at(0, 1.2, 1.0, 0, 0, 0.5)
class InvertedPendulumBulletEnv(MJCFBaseBulletEnv):
def __init__(self):
self.robot = InvertedPendulum()
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):
#print("InvertedPendulumBulletEnv reset p.restoreState(",self.stateId,")")
self._p.restoreState(self.stateId)
r = MJCFBaseBulletEnv._reset(self)
if (self.stateId < 0):
self.stateId = self._p.saveState()
#print("InvertedPendulumBulletEnv reset self.stateId=",self.stateId)
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
vel_penalty = 0
if self.robot.swingup:
reward = np.cos(self.robot.theta)
done = False
else:
reward = 1.0
done = np.abs(self.robot.theta) > .2
self.rewards = [float(reward)]
self.HUD(state, a, done)
return state, sum(self.rewards), done, {}
def camera_adjust(self):
self.camera.move_and_look_at(0, 1.2, 1.0, 0, 0, 0.5)
class InvertedPendulumBulletEnv(MJCFBaseBulletEnv):
def __init__(self):
self.robot = InvertedPendulum()
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):
#print("InvertedPendulumBulletEnv reset p.restoreState(",self.stateId,")")
self._p.restoreState(self.stateId)
r = MJCFBaseBulletEnv.reset(self)
if (self.stateId < 0):
self.stateId = self._p.saveState()
#print("InvertedPendulumBulletEnv reset self.stateId=",self.stateId)
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
vel_penalty = 0
if self.robot.swingup:
reward = np.cos(self.robot.theta)
done = False
else:
reward = 1.0
done = np.abs(self.robot.theta) > .2
self.rewards = [float(reward)]
self.HUD(state, a, done)
return state, sum(self.rewards), done, {}
def camera_adjust(self):
self.camera.move_and_look_at(0, 1.2, 1.0, 0, 0, 0.5)
def __init__(self): self.robot = InvertedPendulum() MJCFBaseBulletEnv.__init__(self, self.robot) self.stateId = -1
def __init__(self):
self.robot = InvertedPendulum()
MJCFBaseBulletEnv.__init__(self, self.robot)
self.stateId = -1
def __init__(self):
self.robot = InvertedPendulum()
MujocoXmlBaseBulletEnv.__init__(self, self.robot)
class InvertedPendulumBulletEnv(MJCFBaseBulletEnv):
def __init__(self):
self.robot = InvertedPendulum()
MJCFBaseBulletEnv.__init__(self, self.robot)
self.stateId = -1
self.torqueForce = 100
self.gravity = 9.8
self.poleMass = 5
def create_single_player_scene(self, bullet_client):
return SingleRobotEmptyScene(bullet_client,
gravity=self.gravity,
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()
# Reset dynamics after environment reset
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.poleMass)
return r
def get_features(self):
return self.torqueForce, self.gravity, self.poleMass
def set_features(self, features=[100, 9.8, 5]):
self.reset()
torqueForce = features[0]
gravity = features[1]
mass = features[2]
self.torqueForce = torqueForce
self.gravity = gravity
self.poleMass = mass
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.poleMass)
def randomize(self, level=0):
self.reset()
self.torqueForce = self.np_random.normal(loc=100,
scale=10) # Originally 100
self.gravity = self.np_random.normal(loc=9.8,
scale=1) # Originally 9.8
self.poleMass = self.np_random.normal(loc=5.0, scale=1) # Originally 5
#print("RANDOMIZING: torqueForce: ", self.torqueForce, "gravity: ", self.gravity, "RANDOMIZING: poleMass: ", self.poleMass)
# OLD RANDOMIZATION METHOD
"""
if(level == 0):
self.torqueForce = self.np_random.uniform(low=90, high=110)
self.gravity = self.np_random.uniform(low=8.82, high=10.78)
self.poleMass = self.np_random.uniform(low=4.5, high=5.5)
elif(level == 1):
if(self.np_random.uniform(low=0, high=1.0) > 0.5):
self.torqueForce = self.np_random.uniform(low=50, high=75)
else:
self.torqueForce = self.np_random.uniform(low=125, high=150)
if(self.np_random.uniform(low=0, high=1.0) > 0.5):
self.gravity = self.np_random.uniform(low=4.9, high=7.35)
else:
self.gravity = self.np_random.uniform(low=12.25, high=14.7)
if(self.np_random.uniform(low=0, high=1.0) > 0.5):
self.poleMass = self.np_random.uniform(low=2.5, high=3.75)
else:
self.poleMass = self.np_random.uniform(low=6.25, high=7.5)
else:
print("ERROR: Invalid randomization mode selected, only 0 or 1 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.poleMass)
def apply_action(self, a):
assert (np.isfinite(a).all())
if not np.isfinite(a).all():
print("a is inf")
a[0] = 0
self.robot.slider.set_motor_torque(self.torqueForce *
float(np.clip(a[0], -1, +1)))
def step(self, a):
#self.robot.apply_action(a) # Need to have the torqueForce parameter to apply the correct action
self.apply_action(a)
self.scene.global_step()
state = self.robot.calc_state() # sets self.pos_x self.pos_y
vel_penalty = 0
if self.robot.swingup:
reward = np.cos(self.robot.theta)
done = False
else:
reward = 1.0
done = np.abs(self.robot.theta) > .2
self.rewards = [float(reward)]
self.HUD(state, a, done)
return state, sum(self.rewards), done, {}
def camera_adjust(self):
self.camera.move_and_look_at(0, 1.2, 1.0, 0, 0, 0.5)
