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20242026
most citedFRAUD-RLA: A new reinforcement learning adversarial attack against credit card fraud detection

5 citations · 5 across the 4 of their papers we have counts for

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cs.LG2025

Zero-Incentive Dynamics: a look at reward sparsity through the lens of unrewarded subgoals

Yannick Molinghen, Tom Lenaerts

This work re-examines the commonly held assumption that the frequency of rewards is a reliable measure of task difficulty in reinforcement learning. We identify and formalize a str…

cs.LG2025★ 5 cited

FRAUD-RLA: A new reinforcement learning adversarial attack against credit card fraud detection

Daniele Lunghi, Yannick Molinghen, Alkis Simitsis +2

Adversarial attacks pose a significant threat to data-driven systems, and researchers have spent considerable resources studying them. Despite its economic relevance, this trend la…