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use self.np_random for all the Quadrant

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hongyi.zhou 2023-09-06 12:56:43 +02:00
parent 70e2404452
commit 832102da59
1 changed files with 3 additions and 3 deletions
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6
fancy_gym/envs/mujoco/reacher/reacher.py
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@ -79,11 +79,11 @@ class ReacherEnv(MujocoEnv, utils.EzPickle):
# I Quadrant
# self.goal = self.np_random.uniform(low=0, high=self.n_links / 10, size=2)
# II Quadrant
# self.goal = np.random.uniform(low=[-self.n_links / 10, 0], high=[0, self.n_links / 10], size=2)
# self.goal = self.np_random.uniform(low=[-self.n_links / 10, 0], high=[0, self.n_links / 10], size=2)
# II + III Quadrant
# self.goal = np.random.uniform(low=-self.n_links / 10, high=[0, self.n_links / 10], size=2)
# self.goal = self.np_random.uniform(low=-self.n_links / 10, high=[0, self.n_links / 10], size=2)
# I + II Quadrant
# self.goal = np.random.uniform(low=[-self.n_links / 10, 0], high=self.n_links, size=2)
# self.goal = self.np_random.uniform(low=[-self.n_links / 10, 0], high=self.n_links, size=2)
if np.linalg.norm(self.goal) < self.n_links / 10:
break