class_docstr: Adds KL coeff updates via `additional_update_for_module()` to Impala logic.
  
  Framework-specific sub-classes must override `_update_module_target_networks()`
  and `_update_module_kl_coeff()`
code: def remove_module(self, module_id: str):
      super().remove_module(module_id)
      self.curr_kl_coeffs_per_module.pop(module_id)
  
file_path: ray/rllib/algorithms/appo/appo_learner.py
imports: import abc
  from typing import Any, Dict
  from ray.rllib.algorithms.appo.appo import APPOConfig
  from ray.rllib.algorithms.impala.impala_learner import ImpalaLearner
  from ray.rllib.utils.annotations import override
  from ray.rllib.utils.lambda_defaultdict import LambdaDefaultDict
  from ray.rllib.utils.metrics import LAST_TARGET_UPDATE_TS, NUM_TARGET_UPDATES
  from ray.rllib.utils.schedules.scheduler import Scheduler
  from ray.rllib.utils.typing import ModuleID
label_desc: Use image node_id 2 for calling the AppoLearner obj's underlying member method code with example usage: obj.remove_module(module_id) without return types