(self, random=None, observe_reward_factors=False)
Initializes an instance of `Stand`.

    Args:
      random: Optional, either a `numpy.random.RandomState` instance, an
        integer seed for creating a new `RandomState`, or None to select a seed
        automatically (default).
      observe_reward_factors: Boolean, whether the factorised reward is a
        key in the observation dict returned to the agent.
Initializes an instance of `Stand`.
Initializes an instance of Stand .
def __init__(self, random=None, observe_reward_factors=False):
    """Initializes an instance of `Stand`.

    Args:
      random: Optional, either a `numpy.random.RandomState` instance, an
        integer seed for creating a new `RandomState`, or None to select a seed
        automatically (default).
      observe_reward_factors: Boolean, whether the factorised reward is a
        key in the observation dict returned to the agent.
    """
    self._observe_reward_factors = observe_reward_factors
    super().__init__(random=random)
def __init__ ( self , random = None , observe_reward_factors = False ) : self . _observe_reward_factors = observe_reward_factors super ( ) . __init__ ( random = random )