updated incorrect angle normalization.
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@ -8,7 +8,9 @@ from alr_envs.utils.utils import angle_normalize
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class ALRReacherEnv(mujoco_env.MujocoEnv, utils.EzPickle):
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def __init__(self, steps_before_reward=200, n_links=5, balance=True):
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def __init__(self, steps_before_reward=200, n_links=5, balance=True, file_name=None):
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utils.EzPickle.__init__(**locals())
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self._steps = 0
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self.steps_before_reward = steps_before_reward
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self.n_links = n_links
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@ -29,7 +31,6 @@ class ALRReacherEnv(mujoco_env.MujocoEnv, utils.EzPickle):
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else:
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raise ValueError(f"Invalid number of links {n_links}, only 5 or 7 allowed.")
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utils.EzPickle.__init__(steps_before_reward=steps_before_reward, n_links=n_links, balance=balance)
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mujoco_env.MujocoEnv.__init__(self, os.path.join(os.path.dirname(__file__), "assets", file_name), 2)
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def step(self, a):
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@ -11,10 +11,11 @@ def angle_normalize(x, type="deg"):
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Returns:
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"""
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if type not in ["deg", "rad"]: raise ValueError(f"Invalid type {type}. Choose one of 'deg' or 'rad'.")
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if type == "deg":
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return ((x + np.pi) % (2 * np.pi)) - np.pi
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elif type == "rad":
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two_pi = 2 * np.pi
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return x - two_pi * np.floor((x + np.pi) / two_pi)
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else:
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raise ValueError(f"Invalid type {type}. Choose on of 'deg' or 'rad'.")
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x = np.deg2rad(x) # x * pi / 180
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two_pi = 2 * np.pi
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return x - two_pi * np.floor((x + np.pi) / two_pi)
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