Open access
2018
Explainable Deep Reinforcement Learning for Dynamic Credit Limit Adjustment
This paper proposes an Explainable Deep Reinforcement Learning (XDRL) framework to automate and personalize credit limit adjustments based on customer behavior, financial data, and macroeconomic indicators, and learns optimal credit limit strategies that balance risk, customer satisfaction, and profitability.
B. K, Meena Krishnan
· International Journal of Int... · 0 citations