code: def aggregating_observers(self):
      return {
          **{
              "cpe_results": IntervalAggregatingObserver(
                  1, agg.ListAggregator("cpe_details")
              ),
          },
          **{
              name: IntervalAggregatingObserver(
                  self.report_interval, aggregator
              )
              for name, aggregator in itertools.chain(
                  [
                      ("td_loss", agg.MeanAggregator("td_loss")),
                      (
                          "recent_rewards",
                          agg.RecentValuesAggregator("logged_rewards"),
                      ),
                      (
                          "logged_action_q_value",
                          agg.MeanAggregator(
                              "model_values_on_logged_actions"
                          ),
                      ),
                  ],
                  [
                      (
                          f"{key}_tb",
                          agg.TensorBoardHistogramAndMeanAggregator(
                              key, log_key
                          ),
                      )
                      for key, log_key in [
                          ("td_loss", "td_loss"),
                          ("reward_loss", "reward_loss"),
                          (
                              "logged_propensities",
                              "propensities/logged",
                          ),
                          ("logged_rewards", "reward/logged"),
                      ]
                  ],
              )
          },
      }
  
file_path: ReAgent/reagent/reporting/actor_critic_reporter.py
imports: import itertools
  import logging
  from reagent.core import aggregators
  from reagent.core.observers import IntervalAggregatingObserver
  from reagent.reporting.reporter_base import ReporterBase
  from reagent.workflow.training_reports import ActorCriticTrainingReport
label_desc: Use image node_id 3 for calling the ActorCriticReporter obj's underlying member method code with example usage: obj.aggregating_observers() and returns: dict