In this paper, after a theoretical introduction to deep reinforcement learning and various DRL algorithms, we provide an overview of the literature on deep reinforcement learning in economics, with a ...

Data inefficiency: RL algorithms often require a large ... especially when used with neural networks (as in deep reinforcement learning), can be unstable during training, requiring careful tuning ...

This study seeks to construct a basic reinforcement learning-based AI-macroeconomic simulator. We use a deep RL (DRL) approach (DDPG ... sectors to the model or by incorporating different DRL ...