24 lines
858 B
Python
24 lines
858 B
Python
from alr_envs.mp.episodic_wrapper import EpisodicWrapper
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from typing import Union, Tuple
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import numpy as np
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class MPWrapper(EpisodicWrapper):
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@property
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def current_pos(self) -> Union[float, int, np.ndarray, Tuple]:
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return self.env.sim.data.qpos.flat[:self.env.n_links]
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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.sim.data.qvel.flat[:self.env.n_links]
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def set_active_obs(self):
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return np.concatenate([
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[False] * self.env.n_links, # cos
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[False] * self.env.n_links, # sin
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[True] * 2, # goal position
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[False] * self.env.n_links, # angular velocity
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[False] * 3, # goal distance
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# self.get_body_com("target"), # only return target to make problem harder
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[False], # step
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]) |