Automated Resolution Pathways in Insurance Claims: Reinforcement Learning Models for Settlement Process Optimisation

Authors

  • Manuela Veloso Professor of Computer Science, Carnegie Mellon University

Keywords:

automated resolution pathways, insurance claims, reinforcement learning models, settlement process optimisation, machine learning

Abstract

The growing complexity of the insurance business should enhance the need for innovative tools that can assist the government and the policyholders alike in dealing with insurance. Today, the business has been facing newer challenges regarding ensuring operational accuracy and efficiency.

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Published

31-12-2022

How to Cite

[1]
“Automated Resolution Pathways in Insurance Claims: Reinforcement Learning Models for Settlement Process Optimisation”, Blockchain Tech. & Distributed Sys., vol. 2, no. 2, pp. 60–69, Dec. 2022, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/btds/article/view/838