class_docstr: MPO learner.
class_docstr_tok: ["MPO","learner","."]
code: def get_variables(self, names: List[str]) -> List[List[np.ndarray]]:
      return [
          tf2_utils.to_numpy(self._variables[name]) for name in names
      ]
  
file_path: acme/acme/agents/tf/mpo/learning.py
imports: import time
  from typing import List, Optional
  import acme
  from acme import types
  from acme.tf import losses
  from acme.tf import savers
  from acme.tf import utils
  from acme.utils import counting
  from acme.utils import loggers
  import numpy
  import sonnet
  import tensorflow
  import trfl
label_desc: Use image node_id 4 for calling the MPOLearner obj's underlying member method code with example usage: obj.get_variables(names) and returns: unknown