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 ...

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 ...

Reinforcement Learning does NOT make the base model ... For other problems like Problem B, the base model contains the correct path, whereas that of the RLVR model does not. (Right) As RLVR training ...

A team of AI researchers at the University of California, Los Angeles, working with a colleague from Meta AI, has introduced d1, a diffusion-large-language-model-based framework that has been improved ...