Summary
Artificial intelligence systems can now generate realistic video, but they still struggle to learn the world knowledge needed to understand how environments change over time, anticipate the consequences of actions, and support decision- making in the physical world. This limitation is a major barrier to building machines that can safely and effectively assist people in homes, workplaces, and scientific settings. By developing learning methods that extract action-relevant structure directly from raw video and other sensor data, this project will help lay the foundation for more capable and adap
