(self, action)
return self._flatten_observation(observation_dict), reward, done, _
Steps the wrapped environment.

    Args:
      action: Numpy array. The input action from an NN agent.

    Returns:
      The tuple containing the flattened observation, the reward, the epsiode
        end indicator.
Steps the wrapped environment.
Steps the wrapped environment .
def step(self, action):
    """Steps the wrapped environment.

    Args:
      action: Numpy array. The input action from an NN agent.

    Returns:
      The tuple containing the flattened observation, the reward, the epsiode
        end indicator.
    """
    observation_dict, reward, done, _ = self._gym_env.step(action)
    return self._flatten_observation(observation_dict), reward, done, _
def step ( self , action ) : observation_dict , reward , done , _ = self . _gym_env . step ( action ) return self . _flatten_observation ( observation_dict ) , reward , done , _