class_docstr: Critic Regularized Regression (CRR) learner.
  
  This is the learning component of a CRR agent as described in
  https://arxiv.org/abs/2006.15134.
code: def get_variables(
      self, names: List[str]
  ) -> List[networks_lib.Params]:
      # We only expose the variables for the learned policy and critic. The target
      # policy and critic are internal details.
      variables = {
          "policy": self._state.target_policy_params,
          "critic": self._state.target_critic_params,
      }
      return [variables[name] for name in names]
  
imports: import time
  from typing import Dict, Iterator, List, NamedTuple, Optional, Tuple
  import acme
  from acme import types
  from acme.agents.jax.crr.losses import PolicyLossCoeff
  from acme.agents.jax.crr.networks import CRRNetworks
  from acme.jax import networks
  from acme.jax import utils
  from acme.utils import counting
  from acme.utils import loggers
  import jax
  import jax.numpy
  import optax
label_desc: Use image node_id 3 for calling the CRRLearner obj's underlying member method code with example usage: obj.get_variables(names) and returns: unknown