Researchers introduce Decoupled Predictive Decision Making for agents

The paper presents Decoupled Predictive Decision Making (DPDM), an architecture that formulates heterogeneous agent decisions as conditional prediction using a shared pretrained learner; language models encode current and historical records while a general‑purpose predictor outputs task‑defined targets.