class_docstr: Add Gaussian noise to the action taken by the deterministic policy.
  
  Args:
      env_spec (EnvSpec): Environment spec to explore.
      policy (garage.Policy): Policy to wrap.
      total_timesteps (int): Total steps in the training, equivalent to
          max_episode_length * n_epochs.
      max_sigma (float): Action noise standard deviation at the start of
          exploration.
      min_sigma (float): Action noise standard deviation at the end of the
          decay period.
      decay_ratio (float): Fraction of total steps for epsilon decay.
class_docstr_tok: ["Add","Gaussian","noise","to","the","action","taken","by","the","deterministic","policy",".","Args",":","env_spec","(","EnvSpec",")",":","Environment","spec","to","explore",".","policy","(","garage.Policy",")",":","Policy","to","wrap",".","total_timesteps","(","int",")",":","Total","steps","in","the","training",",","equivalent","to","max_episode_length","*","n_epochs",".","max_sigma","(","float",")",":","Action","noise","standard","deviation","at","the","start","of","exploration",".","min_sigma","(","float",")",":","Action","noise","standard","deviation","at","the","end","of","the","decay","period",".","decay_ratio","(","float",")",":","Fraction","of","total","steps","for","epsilon","decay","."]
docstr: Get parameter values.
  
  Returns:
      list or dict: Values of each parameter.
docstr_tok: ["Get","parameter","values",".","Returns",":","list","or","dict",":","Values","of","each","parameter","."]
code: def get_param_values(self):
      """Get parameter values.
  
      Returns:
          list or dict: Values of each parameter.
  
      """
      return {
          "total_env_steps": self._total_env_steps,
          "inner_params": self.policy.get_param_values(),
      }
  
file_path: garage/src/garage/np/exploration_policies/add_gaussian_noise.py
imports: import akro
  from dowel import tabular
  import numpy
  from garage.np.exploration_policies.exploration_policy import ExplorationPolicy
label_desc: Use image node_id 6 for calling the AddGaussianNoise obj's underlying member method code with example usage: obj.get_param_values() and returns: dict