class_docstr: API for collecting and returning experiences during policy evaluation.
class_docstr_tok: ["API","for","collecting","and","returning","experiences","during","policy","evaluation","."]
docstr: Returns the next batch of read experiences.
  
  Returns:
      The experience read (SampleBatch or MultiAgentBatch).
docstr_tok: ["Returns","the","next","batch","of","read","experiences",".","Returns",":","The","experience","read","(","SampleBatch","or","MultiAgentBatch",")","."]
code: def next(self) -> SampleBatchType:
      """Returns the next batch of read experiences.
  
      Returns:
          The experience read (SampleBatch or MultiAgentBatch).
      """
      raise NotImplementedError
  
file_path: ray/python/ray/rllib/offline/input_reader.py
imports: from abc import ABCMeta, abstractmethod
  import logging
  import numpy
  import threading
  from ray.rllib.policy.sample_batch import MultiAgentBatch
  from ray.rllib.utils.annotations import PublicAPI
  from ray.rllib.utils.framework import try_import_tf
  from typing import Dict, List
  from ray.rllib.utils.typing import TensorType, SampleBatchType
label_desc: Use image node_id 1 for calling the InputReader obj's underlying member method code with example usage: obj.next() without return types