use auto scale basis
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@ -496,8 +496,12 @@ for _v in _versions:
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kwargs_dict_box_pushing_prodmp['name'] = _v
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kwargs_dict_box_pushing_prodmp['name'] = _v
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kwargs_dict_box_pushing_prodmp['controller_kwargs']['p_gains'] = 0.01 * np.array([120., 120., 120., 120., 50., 30., 10.])
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kwargs_dict_box_pushing_prodmp['controller_kwargs']['p_gains'] = 0.01 * np.array([120., 120., 120., 120., 50., 30., 10.])
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kwargs_dict_box_pushing_prodmp['controller_kwargs']['d_gains'] = 0.01 * np.array([10., 10., 10., 10., 6., 5., 3.])
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kwargs_dict_box_pushing_prodmp['controller_kwargs']['d_gains'] = 0.01 * np.array([10., 10., 10., 10., 6., 5., 3.])
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kwargs_dict_box_pushing_prodmp['trajectory_generator_kwargs']['weights_scale'] = np.array([3.4944e+01, 4.3734e+01, 9.6711e+01, 2.4429e+02, 5.8272e+02])
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# kwargs_dict_box_pushing_prodmp['trajectory_generator_kwargs']['weights_scale'] = np.array([3.4944e+01, 4.3734e+01, 9.6711e+01, 2.4429e+02, 5.8272e+02])
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kwargs_dict_box_pushing_prodmp['trajectory_generator_kwargs']['goal_scale'] = 3.1264e-01
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# kwargs_dict_box_pushing_prodmp['trajectory_generator_kwargs']['goal_scale'] = 3.1264e-01
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kwargs_dict_box_pushing_prodmp['trajectory_generator_kwargs']['weights_scale'] = 0.3
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kwargs_dict_box_pushing_prodmp['trajectory_generator_kwargs']['goal_scale'] = 0.3
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kwargs_dict_box_pushing_prodmp['trajectory_generator_kwargs']['auto_scale_basis'] = True
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kwargs_dict_box_pushing_prodmp['trajectory_generator_kwargs']['goal_offset'] = 1.0
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kwargs_dict_box_pushing_prodmp['basis_generator_kwargs']['num_basis'] = 5
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kwargs_dict_box_pushing_prodmp['basis_generator_kwargs']['num_basis'] = 5
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kwargs_dict_box_pushing_prodmp['basis_generator_kwargs']['alpha'] = 10.
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kwargs_dict_box_pushing_prodmp['basis_generator_kwargs']['alpha'] = 10.
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kwargs_dict_box_pushing_prodmp['basis_generator_kwargs']['basis_bandwidth_factor'] = 3 # 3.5, 4 to try
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kwargs_dict_box_pushing_prodmp['basis_generator_kwargs']['basis_bandwidth_factor'] = 3 # 3.5, 4 to try
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