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fixed some issues with SimpleReacher state space

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This commit is contained in:
ottofabian 2020-08-31 10:33:11 +02:00
parent 5b83539109
commit aec332ff0c
1 changed files with 9 additions and 9 deletions
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18
alr_envs/classic_control/simple_reacher.py
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@ -8,7 +8,7 @@ from gym.utils import seeding
import matplotlib as mpl
import matplotlib.pyplot as plt
if not os.environ.get("DISPLAY", None):
if os.environ.get("DISPLAY", None):
mpl.use('Qt5Agg')
@ -27,7 +27,7 @@ class SimpleReacherEnv(gym.Env, utils.EzPickle):
self._goal_pos = None
self.joints = None
self._joints = None
self._joint_angle = None
self._angle_velocity = None
@ -37,7 +37,7 @@ class SimpleReacherEnv(gym.Env, utils.EzPickle):
state_bound = np.hstack([
[np.pi] * self.n_links,
[np.inf] * self.n_links,
[np.inf],
[np.inf] * 2, # x-y coordinates of target distance
[np.inf] # TODO: Maybe
])
self.action_space = spaces.Box(low=-action_bound, high=action_bound, shape=action_bound.shape)
@ -87,13 +87,13 @@ class SimpleReacherEnv(gym.Env, utils.EzPickle):
def _update_joints(self):
"""
update joints to get new end effector position. The other links are only required for rendering.
update _joints to get new end effector position. The other links are only required for rendering.
Returns:
"""
angles = np.cumsum(self._joint_angle)
x = self.link_lengths * np.vstack([np.cos(angles), np.sin(angles)])
self.joints[1:] = self.joints[0] + np.cumsum(x.T, axis=0)
self._joints[1:] = self._joints[0] + np.cumsum(x.T, axis=0)
def _get_reward(self, action):
diff = self.end_effector - self._goal_pos
@ -113,14 +113,14 @@ class SimpleReacherEnv(gym.Env, utils.EzPickle):
# Sample only orientation of first link, i.e. the arm is always straight.
self._joint_angle = np.hstack([[self.np_random.uniform(-np.pi, np.pi)], np.zeros(self.n_links - 1)])
self._angle_velocity = np.zeros(self.n_links)
self.joints = np.zeros((self.n_links + 1, 2))
self._joints = np.zeros((self.n_links + 1, 2))
self._update_joints()
self._goal_pos = self._get_random_goal()
return self._get_obs().copy()
def _get_random_goal(self):
center = self.joints[0]
center = self._joints[0]
# Sample uniformly in circle with radius R around center of reacher.
R = np.sum(self.link_lengths)
@ -143,7 +143,7 @@ class SimpleReacherEnv(gym.Env, utils.EzPickle):
plt.cla()
# Arm
plt.plot(self.joints[:, 0], self.joints[:, 1], 'ro-', markerfacecolor='k')
plt.plot(self._joints[:, 0], self._joints[:, 1], 'ro-', markerfacecolor='k')
# goal
goal_pos = self._goal_pos.T
@ -162,7 +162,7 @@ class SimpleReacherEnv(gym.Env, utils.EzPickle):
@property
def end_effector(self):
return self.joints[self.n_links].T
return self._joints[self.n_links].T
def angle_normalize(x):