openalexZenodo (CERN European Organization for Nuclear Research)2026-07-23
Stop Spatializing Time: Machine Learning Agents Should Learn Through Time, Not About Time
Teeratham Vitchutripop, Alyssa Quarles, Wei Zhang, Daniel Rakita
Modern machine learning systems are increasingly deployed in settings that require persistent interaction, adaptation, memory, and decision-making over time. Yet, most learning paradigms remove the temporal pressures faced by physically embedded agents: the world waits for comput…