class_docstr: A RL2 policy after adaptation.
  
  Args:
      policy (garage.tf.policies.Policy): Policy itself.
class_docstr_tok: ["A","RL2","policy","after","adaptation",".","Args",":","policy","(","garage.tf.policies.Policy",")",":","Policy","itself","."]
docstr: Return values of params.
  
  Returns:
      np.ndarray: Policy parameter values
      np.ndarray: Initial hidden state, which will be set every time
          the policy is used for meta-test.
docstr_tok: ["Return","values","of","params",".","Returns",":","np.ndarray",":","Policy","parameter","values","np.ndarray",":","Initial","hidden","state",",","which","will","be","set","every","time","the","policy","is","used","for","meta-test","."]
code: def get_param_values(self):
      """Return values of params.
  
      Returns:
          np.ndarray: Policy parameter values
          np.ndarray: Initial hidden state, which will be set every time
              the policy is used for meta-test.
  
      """
      return (self._policy.get_param_values(), self._initial_hiddens)
  
imports: import abc
  import collections
  import akro
  from dowel import logger
  import numpy
  from garage import EnvSpec, EnvStep, EpisodeBatch, log_multitask_performance, StepType, Wrapper
  from garage.np.algos import MetaRLAlgorithm
  from garage.sampler import DefaultWorker
  from garage.tf.algos._rl2npo import RL2NPO
label_desc: Use image node_id 4 for calling the RL2AdaptedPolicy obj's underlying member method code with example usage: obj.get_param_values() and returns: self,  self