BriefGPT.xyz
Sep, 2024
预算约束下的在线决策延迟
Online Decision Deferral under Budget Constraints
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Mirabel Reid, Tom Sühr, Claire Vernade, Samira Samadi
TL;DR
本研究解决了在预算限制下，机器学习模型在连续任务中如何适应变化的决策情况的问题。通过提出一种上下文赌博机模型，该方法在理论上保证了适应性，并展示了在现实数据集上的显著性能提升。研究结果表明，能够有效减轻专家决策负担并提高自动决策的可靠性。
Abstract
Machine Learning
(ML) models are increasingly used to support or substitute
Decision Making
. In applications where skilled experts are a limited resource, it is crucial to reduce their burden and automate decisio
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