ported mp_config for mujoco/box_pushing
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@ -1 +1 @@
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from .mp_wrapper import MPWrapper
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from .mp_wrapper import MPWrapper, ReplanMPWrapper
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@ -6,6 +6,19 @@ from fancy_gym.black_box.raw_interface_wrapper import RawInterfaceWrapper
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class MPWrapper(RawInterfaceWrapper):
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mp_config = {
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'ProMP': {
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'controller_kwargs': {
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'p_gains': 0.01 * np.array([120., 120., 120., 120., 50., 30., 10.]),
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'd_gains': 0.01 * np.array([10., 10., 10., 10., 6., 5., 3.]),
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},
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'basis_generator_kwargs': {
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'basis_bandwidth_factor': 2 # 3.5, 4 to try
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}
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},
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'DMP': {},
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'ProDMP': {},
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}
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# Random x goal + random init pos
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@property
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@ -27,3 +40,33 @@ class MPWrapper(RawInterfaceWrapper):
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@property
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def current_vel(self) -> Union[float, int, np.ndarray, Tuple]:
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return self.data.qvel[:7].copy()
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class ReplanMPWrapper(MPWrapper):
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mp_config = {
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'ProMP': {},
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'DMP': {},
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'ProDMP': {
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'controller_kwargs': {
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'p_gains': 0.01 * np.array([120., 120., 120., 120., 50., 30., 10.]),
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'd_gains': 0.01 * np.array([10., 10., 10., 10., 6., 5., 3.]),
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},
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'trajectory_generator_kwargs': {
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'weights_scale': 0.3,
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'goal_scale': 0.3,
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'auto_scale_basis': True,
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'goal_offset': 1.0,
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'disable_goal': True,
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},
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'basis_generator_kwargs': {
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'num_basis': 5,
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'basis_bandwidth_factor': 3,
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'alpha_phase': 3,
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},
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'black_box_kwargs': {
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'max_planning_times': 4,
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'replanning_schedule': lambda pos, vel, obs, action, t: t % 25 == 0,
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'condition_on_desired': True,
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}
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}
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}
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