Source code for tfrddlsim.policy.default_policy

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from typing import Sequence

import tensorflow as tf

from rddl2tf.compilers import Compiler
from tfrddlsim.policy.abstract_policy import Policy



[docs]class DefaultPolicy(Policy): '''DefaultPolicy class. The default policy returns the default action fluents regardless of the current state and timestep. Args: compiler (:obj:`rddl2tf.compiler.Compiler`): A RDDL2TensorFlow compiler. batch_size (int): The batch size. ''' def __init__(self, compiler: Compiler, batch_size: int) -> None: self._default = compiler.default_action()
[docs] def __call__(self, state: Sequence[tf.Tensor], timestep: tf.Tensor) -> Sequence[tf.Tensor]: '''Returns the default action fluents regardless of the current `state` and `timestep`. Args: state (Sequence[tf.Tensor]): The current state fluents. timestep (tf.Tensor): The current timestep. Returns: Sequence[tf.Tensor]: A tuple of action fluents. ''' return self._default