code: def add_experiences(self, curr_info: AllBrainInfo, next_info: AllBrainInfo,
                          take_action_outputs):
          
  
          # Used to collect information about student performance.
          info_student = curr_info[self.brain_name]
          next_info_student = next_info[self.brain_name]
          for agent_id in info_student.agents:
              self.evaluation_buffer[agent_id].last_brain_info = info_student
  
          for agent_id in next_info_student.agents:
              stored_info_student = self.evaluation_buffer[agent_id].last_brain_info
              if stored_info_student is None:
                  continue
              else:
                  next_idx = next_info_student.agents.index(agent_id)
                  if agent_id not in self.cumulative_rewards:
                      self.cumulative_rewards[agent_id] = 0
                  self.cumulative_rewards[agent_id] += next_info_student.rewards[next_idx]
                  if not next_info_student.local_done[next_idx]:
                      if agent_id not in self.episode_steps:
                          self.episode_steps[agent_id] = 0
                      self.episode_steps[agent_id] += 1
docs: Adds experiences to each agent's experience history.
          :param curr_info: Current AllBrainInfo (Dictionary of all current brains and corresponding BrainInfo).
          :param next_info: Next AllBrainInfo (Dictionary of all current brains and corresponding BrainInfo).
          :param take_action_outputs: The outputs of the take action method.