class_docstr: Events specific for the SAC algorithm, in order to record and analyse it's behaviour in more detail
docstr: Record the mean policy logp.
  
  :param step_key: The step_key of the multi-step env.
  :param value: The value.
docstr_tok: ["Record","the","mean","policy","logp",".",":","param","step_key",":","The","step_key","of","the","multi-step","env",".",":","param","value",":","The","value","."]
code: def policy_mean_logp(
      self, step_key: Union[int, str], value: float
  ) -> None:
      """Record the mean policy logp.
  
      :param step_key: The step_key of the multi-step env.
      :param value: The value.
      """
  
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 4 for calling the SACEvents obj's underlying member method code with example usage: obj.policy_mean_logp(step_key, value) without return types