code: def __init__(self, action_space: ActionSpace, weights, policies):
      assert len(weights) == len(policies)
      self._weights = weights
      self._policies = policies
      self._action_space = action_space
  
imports: import logging
  import gym
  import torch
  from reagent.ope.estimators.sequential_estimators import Action, ActionDistribution, ActionSpace, IPSEstimator, Model, NeuralDualDICE, RandomRLPolicy, RewardProbability, RLEstimatorInput, RLPolicy, State, StateDistribution, Transition
  from reagent.ope.utils import RunningAverage
label_desc: Use image node_id 1 to create a new ComboPolicy object from inherited base classes: RLPolicy with example: obj = ComboPolicy(action_space, weights, policies)