code: def _get_additional_update_kwargs(self, train_results) -> dict:
      return dict(
          last_update=self._counters[LAST_TARGET_UPDATE_TS],
          mean_kl_loss_per_module={
              module_id: r[LEARNER_RESULTS_KL_KEY]
              for module_id, r in train_results.items()
              if module_id != ALL_MODULES
          },
      )
  
imports: from typing import Optional, Type
  import logging
  from ray.rllib.algorithms.algorithm_config import AlgorithmConfig, NotProvided
  from ray.rllib.algorithms.impala.impala import Impala, ImpalaConfig
  from ray.rllib.core.rl_module.rl_module import SingleAgentRLModuleSpec
  from ray.rllib.policy.policy import Policy
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.metrics import LAST_TARGET_UPDATE_TS, NUM_AGENT_STEPS_SAMPLED, NUM_ENV_STEPS_SAMPLED, NUM_TARGET_UPDATES
  from ray.rllib.utils.metrics import ALL_MODULES, LEARNER_STATS_KEY
  from ray.rllib.utils.typing import ResultDict
label_desc: Use image node_id 3 for calling the APPO obj's underlying member method code with example usage: obj._get_additional_update_kwargs(train_results) and returns: dict