class_docstr: A policy that does not reset.
  
  For RL2 meta-test, the policy should not reset after meta-RL
  adapation. The hidden state will be retained as it is where
  the adaptation takes place.
  
  Args:
      policy (garage.tf.policies.Policy): Policy itself.
  
  Returns:
      garage.tf.policies.Policy: The wrapped policy that does not reset.
class_docstr_tok: ["A","policy","that","does","not","reset",".","For","RL2","meta-test",",","the","policy","should","not","reset","after","meta-RL","adapation",".","The","hidden","state","will","be","retained","as","it","is","where","the","adaptation","takes","place",".","Args",":","policy","(","garage.tf.policies.Policy",")",":","Policy","itself",".","Returns",":","garage.tf.policies.Policy",":","The","wrapped","policy","that","does","not","reset","."]
docstr: Set param values.
  
  Args:
      params (np.ndarray): A numpy array of parameter values.
docstr_tok: ["Set","param","values",".","Args",":","params","(","np.ndarray",")",":","A","numpy","array","of","parameter","values","."]
code: def set_param_values(self, params):
      """Set param values.
  
      Args:
          params (np.ndarray): A numpy array of parameter values.
  
      """
      self._policy.set_param_values(params)
  
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 5 for calling the NoResetPolicy obj's underlying member method code with example usage: obj.set_param_values(params) without return types