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arxiv_cs_lg · Jul 10, 2026 · paper

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Semantic Pareto-DQN: A Multi-Objective Reinforcement Learning Framework for Financial Anomaly Detection

arxiv.orgJul 10, 2026
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Financial anomaly detection suffers from extreme class imbalance, causing traditional single-objective algorithms to exhibit ``fraud collapse'', defaulting to the majority class and failing to balance anomaly interdic...

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Semantic Pareto-DQN: A Multi-Objective Reinforcement Learning Framework for Financial Anomaly Detection

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Presentation: Fine Tuning the Enterprise: Reinforcement Learning in Practice