class_docstr: Interface for an offline evaluator of a policy
docstr: Initializes an OffPolicyEstimator instance.
  
  Args:
      policy: Policy to evaluate.
      kwargs: forward compatibility placeholder.
docstr_tok: ["Initializes","an","OffPolicyEstimator","instance",".","Args",":","policy",":","Policy","to","evaluate",".","kwargs",":","forward","compatibility","placeholder","."]
code: def __init__(self, policy: Policy, **kwargs):
      """Initializes an OffPolicyEstimator instance.
  
      Args:
          policy: Policy to evaluate.
          kwargs: forward compatibility placeholder.
      """
      self.policy = policy
  
file_path: ray/python/ray/rllib/offline/offline_evaluator.py
imports: import abc
  import os
  import logging
  from typing import Dict, Any
  from ray.data import Dataset
  from ray.rllib.policy import Policy
  from ray.rllib.utils.annotations import DeveloperAPI, ExperimentalAPI
  from ray.rllib.utils.typing import SampleBatchType
label_desc: Use image node_id 1 to create a new OfflineEvaluator object from inherited base classes: abc with example: obj = OfflineEvaluator(policy)