The World Is Bigger! A Computationally-Embedded Perspective on the Big World Hypothesis

NeurIPSSpotlight2025

Authors
Alex Lewandowski, Aditya A. Ramesh, Edan Meyer, Dale Schuurmans, Marlos C. Machado
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

Continual learning is often motivated by the idea, known as the big world hypothesis, that ``the world is bigger'' than the agent…

Opening excerpt from the authors’ abstract. source

Read the paper

Topics

continual learning agent

← All NeurIPS 2025 Spotlight papers · Browse the whole archive