Teaching machines to control the world by borrowing physics textbooks

Instead of a robot learning to balance a pencil through pure trial and error, we hand it the equations of gravity first — then it figures out the rest way faster.

This means we can train AI controllers for complex real-world systems (power grids, aircraft) using far fewer expensive experiments and failures.