code: def get_action(self, brain_info: BrainInfo) -> ActionInfo:
          
          if len(brain_info.agents) == 0:
              return ActionInfo([], [], [], None, None)
  
          run_out = self.evaluate(brain_info)
          return ActionInfo(
              action=run_out.get('action'),
              memory=run_out.get('memory_out'),
              text=None,
              value=run_out.get('value'),
              outputs=run_out
          )
docs: Decides actions given observations information, and takes them in environment.
          :param brain_info: A dictionary of brain names and BrainInfo from environment.
          :return: an ActionInfo containing action, memories, values and an object
          to be passed to add experiences