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Can Interpretable Reinforcement Learning Manage Prosperity Your Way?

2022

Personalisation of products and services is fast becoming the driver of success in banking and commerce. Machine learning holds the promise of gaining a deeper understanding of and tailoring to customers’ needs and preferences. Whereas traditional solutions to financial decision problems frequently rely on model assumptions, reinforcement learning is able to exploit large amounts of data to improve customer modelling and decision-making in complex financial environments with fewer assumptions. Model explainability and interpretability present challenges from a regulatory perspective which demands transparency for acceptance; they also offer the opportunity for improved insight into and unde…

FOS: Computer and information sciencesComputer Science - Machine LearningArtificial Intelligence (cs.AI)Computer Science - Artificial IntelligenceGeneral Earth and Planetary SciencesAI in banking; personalized services; prosperity management; explainable AI; reinforcement learning; policy regularisationVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550General Environmental ScienceMachine Learning (cs.LG)AI; Volume 3; Issue 2; Pages: 526-537
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