Masked deep RL on a statute-derived MDP yields interpretable firm policies for cross-border data compliance and an absorb-then-adjust pattern under rising regulatory friction.
Detecting Accounting Fraud in Publicly Traded U.S. Firms Using a Machine Learning Approach
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Sequential compliance decisions of firms on cross-border data flows: An institutionally anchored decision support system
Masked deep RL on a statute-derived MDP yields interpretable firm policies for cross-border data compliance and an absorb-then-adjust pattern under rising regulatory friction.