World models

A system learns to predict the consequences of actions, but long physical sequences still break down.

A world model can estimate the consequence of an action before executing it, reducing dangerous trial and error in reality. Its core limit is accumulated prediction error: the longer the imagined sequence, the further the simulation can drift from the physical world.

Sources

Google DeepMind · Genie 2Open primary source