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October 22, 2025EconomiesOpen Access

Deep Reinforcement Learning in a Search-Matching Model of Labor Market Fluctuations

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Learning-based economies show significantly higher volatility in labor market variables compared to traditional models.
The study emphasizes the importance of endogenous learning as a driver for labor market fluctuations.
Both models maintained a downward-sloping Beveridge curve, although their dynamics differ markedly.
Reinforcement learning can productively complement traditional macroeconomic models of labor markets.

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Observational analysis reveals deep reinforcement learning increases volatility in labor markets, highlighting bounded rationality.

Ruxin Chen (2025) studied this question.

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