Summary
While natural intelligence often learns sophisticated skills through simple visual observation, current artificial intelligence (AI) systems largely lack this ability. Most modern AI systems require massive amounts of text or human-labeled data to understand the world, a dependency that limits the ability of machines to perform complex physical tasks that are difficult to describe in words. To address these limitations, this project creates a scientific framework that allows machines to learn directly from passive observations and active interactions with the physical environment. The project
