updates && disable auto_scale_basis for table tennis
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@ -569,7 +569,7 @@ for _v in _versions:
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kwargs_dict_tt_prodmp['controller_kwargs']['d_gains'] = 0.5 * np.array([0.1, 0.4, 0.2, 0.4, 0.1, 0.4, 0.1])
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kwargs_dict_tt_prodmp['controller_kwargs']['d_gains'] = 0.5 * np.array([0.1, 0.4, 0.2, 0.4, 0.1, 0.4, 0.1])
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kwargs_dict_tt_prodmp['trajectory_generator_kwargs']['weights_scale'] = 1.0
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kwargs_dict_tt_prodmp['trajectory_generator_kwargs']['weights_scale'] = 1.0
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kwargs_dict_tt_prodmp['trajectory_generator_kwargs']['goal_scale'] = 1.0
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kwargs_dict_tt_prodmp['trajectory_generator_kwargs']['goal_scale'] = 1.0
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kwargs_dict_tt_prodmp['trajectory_generator_kwargs']['auto_scale_basis'] = True
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kwargs_dict_tt_prodmp['trajectory_generator_kwargs']['auto_scale_basis'] = False
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kwargs_dict_tt_prodmp['trajectory_generator_kwargs']['goal_offset'] = 1.0
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kwargs_dict_tt_prodmp['trajectory_generator_kwargs']['goal_offset'] = 1.0
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kwargs_dict_tt_prodmp['phase_generator_kwargs']['learn_tau'] = True
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kwargs_dict_tt_prodmp['phase_generator_kwargs']['learn_tau'] = True
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kwargs_dict_tt_prodmp['phase_generator_kwargs']['learn_delay'] = True
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kwargs_dict_tt_prodmp['phase_generator_kwargs']['learn_delay'] = True
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@ -151,8 +151,8 @@ class TableTennisEnv(MujocoEnv, utils.EzPickle):
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def reset_model(self):
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def reset_model(self):
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self._steps = 0
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self._steps = 0
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self._init_ball_state = self._generate_valid_init_ball(random_pos=True, random_vel=False)
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self._init_ball_state = self._generate_valid_init_ball(random_pos=False, random_vel=False)
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self._goal_pos = self._generate_goal_pos(random=True)
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self._goal_pos = self._generate_goal_pos(random=False)
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self.data.joint("tar_x").qpos = self._init_ball_state[0]
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self.data.joint("tar_x").qpos = self._init_ball_state[0]
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self.data.joint("tar_y").qpos = self._init_ball_state[1]
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self.data.joint("tar_y").qpos = self._init_ball_state[1]
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self.data.joint("tar_z").qpos = self._init_ball_state[2]
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self.data.joint("tar_z").qpos = self._init_ball_state[2]
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