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DRIVE: Distributional and Retrieval-Augmented Bidding with Value Evaluation

arXiv cs.LG · yesterday Cached

This paper introduces DRIVE, a unified Transformer-based framework for offline auto-bidding that decouples candidate action generation from decision making, combining distributional action modeling, retrieval-augmented candidate generation, and value-based evaluation to improve bidding performance under budget and cost constraints.

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