most citedDeep Reinforcement Learning in a Monetary Model

10 citations · 10 across the 1 of their papers we have counts for

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1 paper

econ.EM2021★ 10 cited

Deep Reinforcement Learning in a Monetary Model

Mingli Chen, Andreas Joseph, Michael Kumhof +2

We propose using deep reinforcement learning to solve dynamic stochastic general equilibrium models. Agents are represented by deep artificial neural networks and learn to solve th…