Algorithms that set prices for vending machines, apartment rents, and hotel rooms are drawing federal antitrust scrutiny as ...

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Abstract: To address the estimation bias caused by ignoring input noise in existing adaptive filtering algorithms, a new proportionate-type algorithm is proposed in this paper. First, a ...

Abstract: Adversarial imitation learning (AIL), a prominent approach in imitation learning, has achieved significant practical success powered by neural network approximation. However, existing ...