52 lines
1.4 KiB
Python
52 lines
1.4 KiB
Python
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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 DMCCartpoleMPWrapper(MPEnvWrapper):
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def __init__(self, env, n_poles: int = 1):
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self.n_poles = n_poles
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super().__init__(env)
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@property
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def active_obs(self):
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# Besides the ball position, the environment is always set to 0.
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return np.hstack([
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[True], # slider position
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[True] * 2 * self.n_poles, # sin/cos hinge angles
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[True], # slider velocity
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[True] * self.n_poles, # hinge velocities
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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["slider"]
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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["slider"]
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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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class DMCCartpoleTwoPolesMPWrapper(DMCCartpoleMPWrapper):
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def __init__(self, env):
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super().__init__(env, n_poles=2)
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class DMCCartpoleThreePolesMPWrapper(DMCCartpoleMPWrapper):
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def __init__(self, env):
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super().__init__(env, n_poles=3)
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