2 papers
cs.AI2025
The World Is Bigger! A Computationally-Embedded Perspective on the Big World Hypothesis
Alex Lewandowski, Adtiya A. Ramesh, Edan Meyer +2
Continual learning is often motivated by the idea, known as the big world hypothesis, that "the world is bigger" than the agent. Recent problem formulations capture this idea by ex…
cs.LG2024
Harnessing Discrete Representations For Continual Reinforcement Learning
Edan Meyer, Adam White, Marlos C. Machado
Reinforcement learning (RL) agents make decisions using nothing but observations from the environment, and consequently, heavily rely on the representations of those observations.…