Learning from the past is critical for shaping the future, especially when it comes to economic policymaking. Building … upon the current methods in the application of Reinforcement Learning (RL) to the large language models (LLMs), this paper … introduces Reinforcement Learning from Experience Feedback (RLXF), a procedure that tunes LLMs based on lessons from past …

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, one of which is deterministic without the … technological shock and the other is stochastic. The objective of the deterministic environment is to compare the learning agent …