class_docstr: Defines an interface for defining the components of an RL agent.
  
  Implementations of this interface contain a complete specification of a
  concrete RL agent. An instance of this class can be used to build an
  RL agent which interacts with the environment either locally or in a
  distributed setup.
class_docstr_tok: ["Defines","an","interface","for","defining","the","components","of","an","RL","agent",".","Implementations","of","this","interface","contain","a","complete","specification","of","a","concrete","RL","agent",".","An","instance","of","this","class","can","be","used","to","build","an","RL","agent","which","interacts","with","the","environment","either","locally","or","in","a","distributed","setup","."]
docstr: Create a dataset iterator to use for learning/updating the agent.
docstr_tok: ["Create","a","dataset","iterator","to","use","for","learning\/updating","the","agent","."]
code: def make_dataset_iterator(
      self,
      replay_client: reverb.Client,
  ) -> Iterator[Sample]:
      """Create a dataset iterator to use for learning/updating the agent."""
  
imports: import abc
  import dataclasses
  from typing import Generic, Iterator, List, Optional
  from acme import adders
  from acme import core
  from acme import specs
  from acme.jax import networks
  from acme.jax import types
  from acme.utils import counting
  from acme.utils import loggers
  import reverb
label_desc: Use image node_id 2 for calling the ActorLearnerBuilder obj's underlying member method code with example usage: obj.make_dataset_iterator(replay_client) without return types