Delphos: A reinforcement learning framework for assisting discrete choice model specification
Delphos uses deep reinforcement learning to help human modelers specify discrete choice models by treating specification as a sequential decision-making problem. The AI agent learns which sequence of modeling actions—like adding variables or changing parameters—leads to the best final model quality, guided by a reward function based on metrics like log-likelihood.