2 papers
cs.AI2025
Should We Ever Prefer Decision Transformer for Offline Reinforcement Learning?
Yumi Omori, Zixuan Dong, Keith Ross
In recent years, extensive work has explored the application of the Transformer architecture to reinforcement learning problems. Among these, Decision Transformer (DT) has gained p…
cs.LG2025
Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model
George Andriopoulos, Soyuj Jung Basnet, Juan Guevara +2
The Unconstrained Feature Model (UFM) is a mathematical framework that enables closed-form approximations for minimal training loss and related performance measures in deep neural…