class_docstr: Distributed MCTS agent.
docstr: The replay storage worker.
docstr_tok: ["The","replay","storage","worker","."]
code: def replay(self):
      """The replay storage worker."""
      limiter = reverb.rate_limiters.SampleToInsertRatio(
          min_size_to_sample=self._min_replay_size,
          samples_per_insert=self._samples_per_insert,
          error_buffer=self._batch_size,
      )
      extra_spec = {
          "pi": specs.Array(
              shape=(self._env_spec.actions.num_values,),
              dtype="float32",
          )
      }
      signature = adders.NStepTransitionAdder.signature(
          self._env_spec, extra_spec
      )
      replay_table = reverb.Table(
          name=adders.DEFAULT_PRIORITY_TABLE,
          sampler=reverb.selectors.Uniform(),
          remover=reverb.selectors.Fifo(),
          max_size=self._max_replay_size,
          rate_limiter=limiter,
          signature=signature,
      )
      return [replay_table]
  
imports: from typing import Callable, Optional
  import acme
  from acme import datasets
  from acme import specs
  from acme.adders import reverb
  from acme.agents.tf.mcts import acting
  from acme.agents.tf.mcts import learning
  from acme.agents.tf.mcts import models
  from acme.tf import utils
  from acme.tf import variable_utils
  from acme.utils import counting
  from acme.utils import loggers
  import dm_env
  import launchpad
  import reverb
  import sonnet
label_desc: Use image node_id 2 for calling the DistributedMCTS obj's underlying member method code with example usage: obj.replay() and returns: list