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smaller model
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@@ -137,7 +137,7 @@ def train(cfg: TrainPipelineConfig):
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logging.info("Creating policy")
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# Pass episode_data_index for RLearN to calculate proper progress
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episode_data_index = dataset.episode_data_index if hasattr(dataset, 'episode_data_index') else None
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episode_data_index = dataset.episode_data_index if hasattr(dataset, "episode_data_index") else None
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policy = make_policy(
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cfg=cfg.policy,
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ds_meta=dataset.meta,
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