class_docstr: Recurrent CRR learner.
  
  This is the learning component of a RCRR agent. It takes a dataset as
  input and implements update functionality to learn from this dataset.
class_docstr_tok: ["Recurrent","CRR","learner",".","This","is","the","learning","component","of","a","RCRR","agent",".","It","takes","a","dataset","as","input","and","implements","update","functionality","to","learn","from","this","dataset","."]
code: def get_variables(self, names: List[str]) -> List[List[np.ndarray]]:
      return [
          tf2_utils.to_numpy(self._variables[name]) for name in names
      ]
  
imports: import operator
  import time
  from typing import Dict, List, Optional
  from acme import core
  from acme.tf import losses
  from acme.tf import networks
  from acme.tf import savers
  from acme.tf import utils
  from acme.utils import counting
  from acme.utils import loggers
  import numpy
  import reverb
  import sonnet
  import tensorflow
  import tree
label_desc: Use image node_id 5 for calling the RCRRLearner obj's underlying member method code with example usage: obj.get_variables(names) and returns: unknown