34 lines
983 B
Python
34 lines
983 B
Python
from typing import Tuple, Union
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import numpy as np
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from mp_env_api.interface_wrappers.mp_env_wrapper import MPEnvWrapper
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class DMCReacherMPWrapper(MPEnvWrapper):
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@property
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def active_obs(self):
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# Joint and target positions are randomized, velocities are always set to 0.
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return np.hstack([
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[True] * 2, # joint position
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[True] * 2, # target position
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[False] * 2, # joint velocity
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])
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@property
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def current_pos(self) -> Union[float, int, np.ndarray]:
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return self.env.physics.named.data.qpos[:]
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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.env.physics.named.data.qvel[:]
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@property
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def goal_pos(self) -> Union[float, int, np.ndarray, Tuple]:
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raise ValueError("Goal position is not available and has to be learnt based on the environment.")
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@property
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def dt(self) -> Union[float, int]:
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return self.env.dt
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