updates
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@ -88,13 +88,14 @@ def make_simple_env(rank, seed=0):
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env = DetPMPEnvWrapper(env,
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env = DetPMPEnvWrapper(env,
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num_dof=3,
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num_dof=3,
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num_basis=5,
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num_basis=5,
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width=0.01,
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width=0.005,
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off=-0.1,
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policy_type="motor",
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policy_type="motor",
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start_pos=env.start_pos[1::2],
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start_pos=env.start_pos[1::2],
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duration=3.5,
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duration=3.5,
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post_traj_time=4.5,
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post_traj_time=4.5,
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dt=env.dt,
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dt=env.dt,
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weights_scale=0.5,
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weights_scale=0.25,
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zero_start=True,
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zero_start=True,
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zero_goal=True
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zero_goal=True
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)
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)
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@ -10,6 +10,7 @@ class DetPMPEnvWrapper(gym.Wrapper):
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num_dof,
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num_dof,
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num_basis,
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num_basis,
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width,
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width,
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off=0.01,
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start_pos=None,
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start_pos=None,
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duration=1,
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duration=1,
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dt=0.01,
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dt=0.01,
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@ -23,7 +24,7 @@ class DetPMPEnvWrapper(gym.Wrapper):
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self.num_dof = num_dof
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self.num_dof = num_dof
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self.num_basis = num_basis
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self.num_basis = num_basis
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self.dim = num_dof * num_basis
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self.dim = num_dof * num_basis
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self.pmp = det_promp.DeterministicProMP(n_basis=num_basis, n_dof=num_dof, width=width, off=0.01,
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self.pmp = det_promp.DeterministicProMP(n_basis=num_basis, n_dof=num_dof, width=width, off=off,
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zero_start=zero_start, zero_goal=zero_goal)
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zero_start=zero_start, zero_goal=zero_goal)
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weights = np.zeros(shape=(num_basis, num_dof))
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weights = np.zeros(shape=(num_basis, num_dof))
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self.pmp.set_weights(duration, weights)
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self.pmp.set_weights(duration, weights)
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