class_docstr: AdditiveNoise is an exploration policy intended for continuous action spaces. It takes the action from the agent
  and adds a Gaussian distributed noise to it. The amount of noise added to the action follows the noise amount that
  can be given in two different ways:
  1. Specified by the user as a noise schedule which is taken in percentiles out of the action space size
  2. Specified by the agents action. In case the agents action is a list with 2 values, the 1st one is assumed to
  be the mean of the action, and 2nd is assumed to be its standard deviation.
class_docstr_tok: ["AdditiveNoise","is","an","exploration","policy","intended","for","continuous","action","spaces",".","It","takes","the","action","from","the","agent","and","adds","a","Gaussian","distributed","noise","to","it",".","The","amount","of","noise","added","to","the","action","follows","the","noise","amount","that","can","be","given","in","two","different","ways",":","1",".","Specified","by","the","user","as","a","noise","schedule","which","is","taken","in","percentiles","out","of","the","action","space","size","2",".","Specified","by","the","agents","action",".","In","case","the","agents","action","is","a","list","with","2","values",",","the","1st","one","is","assumed","to","be","the","mean","of","the","action",",","and","2nd","is","assumed","to","be","its","standard","deviation","."]
code: def get_control_param(self):
      return (
          np.ones(self.action_space.shape)
          * self.noise_schedule.current_value
      )
  
file_path: coach/rl_coach/exploration_policies/additive_noise.py
imports: from typing import List
  import numpy
  from rl_coach.core_types import RunPhase, ActionType
  from rl_coach.exploration_policies.exploration_policy import ContinuousActionExplorationPolicy, ExplorationParameters
  from rl_coach.schedules import Schedule, LinearSchedule
  from rl_coach.spaces import ActionSpace, BoxActionSpace
label_desc: Use image node_id 3 for calling the AdditiveNoise obj's underlying member method code with example usage: obj.get_control_param() and returns: unknown