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bug fixes for OPE (#311)
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@@ -155,7 +155,7 @@ class DDQNBCQAgent(DQNAgent):
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reward_model_loss = 0
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imitation_model_loss = 0
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total_transitions_processed = 0
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for i, batch in enumerate(self.call_memory('get_shuffled_data_generator', batch_size)):
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for i, batch in enumerate(self.call_memory('get_shuffled_training_data_generator', batch_size)):
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batch = Batch(batch)
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# reward model
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