Search Results for author:
Found 1 papers, 0 papers with code
A Self-Supervised Framework for Function Learning and Extrapolation
Understanding how agents learn to generalize -- and, in particular, to extrapolate -- in high-dimensional, naturalistic environments remains a challenge for both machine learning and the study of biological agents.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
