In rigorous tests, Centaur consistently outperformed traditional cognitive models, including Prospect Theory and ...

This article proposes a novel reinforcement learning-based model predictive control (RLMPC) scheme for discrete-time systems. The scheme integrates model predictive control (MPC) and reinforcement ...

Federated learning is a widely used method for collaborative machine learning without sharing local data. In this approach, participants train models using their local data, and the model updates are ...

Establishing a theory of population health will depend on researchers giving up their disciplinary narrowness. It is certainly a good ambition to clarify through a glossary how we use words like ...

In education, as in psychology, clarity matters. Yet in everyday conversations about teaching and learning, terms like learning theory and pedagogy are often used interchangeably. Phrases such as ...

New AI study examines social capabilities of large language models (LLMs), affirming the overall importance of applying human behavior science to machines.