class_docstr: Event interface defining statistics emitted by the imitation learning trainers.
class_docstr_tok: ["Event","interface","defining","statistics","emitted","by","the","imitation","learning","trainers","."]
docstr: L2 norm of the step policies.
docstr_tok: ["L2","norm","of","the","step","policies","."]
code: def policy_l2_norm(
      self, step_id: Union[str, int], agent_id: int, value: float
  ):
      """L2 norm of the step policies."""
  
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 3 for calling the ImitationEvents obj's underlying member method code with example usage: obj.policy_l2_norm(step_id, agent_id, value) without return types