Nature

Competitive swarm reinforcement learning improves stability and performance of deep reinforcement learning

Reinforcement Learning (RL) enable agents to learn from interactions with their environment by mapping environmental states to actions, aiming to maximize the value of received feedback signals. The ...
International Monetary Fund

AI and Macroeconomic Modeling: Deep Reinforcement Learning in an RBC model

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG) in an RBC macroeconomic model. We set up two learning scenarios, ...