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Optimizing Collection Processes Using Conservative Q-Learning
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AI
DOI：10.1016/j.eswa.2025.130593.png)
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Abstract
En 中文
• We consider not only the money collection, but the churn effects of the actions taken for collection • Instead of segment-based strategies we develop individual based strategies • We use constrained Q-learning algorithms first time in the literature in this context
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7.5
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2.9W
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10.2W
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