class_docstr: Events specific for the SAC algorithm, in order to record and analyse it's behaviour in more detail
docstr: Record the current entropy loss, interesting when using entropy tuning.
  
  :param step_key: The step_key of the multi-step env.
  :param value: The current value of the entropy loss.
docstr_tok: ["Record","the","current","entropy","loss",",","interesting","when","using","entropy","tuning",".",":","param","step_key",":","The","step_key","of","the","multi-step","env",".",":","param","value",":","The","current","value","of","the","entropy","loss","."]
code: def entropy_loss(
      self, step_key: Union[str, int], value: float
  ) -> None:
      """Record the current entropy loss, interesting when using entropy tuning.
  
      :param step_key: The step_key of the multi-step env.
      :param value: The current value of the entropy loss.
      """
  
imports: from abc import ABC
  from typing import Union
  import numpy
  from maze.core.log_stats.event_decorators import define_stats_grouping, define_epoch_stats
label_desc: Use image node_id 14 for calling the SACEvents obj's underlying member method code with example usage: obj.entropy_loss(step_key, value) without return types