World Model
A learned simulator of how an environment evolves — imagine outcomes before acting in the real world.
A world model learns the dynamics of an environment — given a state and an action, predict what happens next — so an agent can plan by imagination instead of trial and error. Long central to robotics and RL, world models became a headline research direction as video-generation models showed they implicitly learn physics, and as agent builders sought something beyond next-token prediction.