dreaminglike
Dreaminglike is a term used in artificial intelligence and cognitive science to describe processes or systems that generate internally simulated experiences akin to human dreaming. It refers to offline or autonomous imaginative activity in which a model replays, recombines, or novelly composes internal representations without direct external input. The goal is to consolidate knowledge, rehearse strategies, or explore potential situations to improve learning efficiency and robustness.
In practice, dreaminglike activity is implemented with generative models and replay mechanisms, such as latent-variable predictors,
Applications and benefits include data augmentation, improved robustness to distribution shift, and enhanced sample efficiency. Dreaminglike
Relation to related concepts includes Dreaming in humans and animals, replay mechanisms in reinforcement learning, and