The linked paper is worth reading, and an interesting extension to inductive logic programming (ILP), a symbolic-logic-based approach to generalizing from examp

The linked paper is worth reading, and an interesting extension to inductive logic programming (ILP), a symbolic-logic-based approach to generalizing from examples. The more general idea of learning from watching someone play isn't that new, but it's usually in more restricted contexts. For example, the system may be preprogrammed with the rules of chess, and then learns how to play chess well from logs of expert play. The work here has some pretty clever representations to allow it to start with a general hypothesis of any board-like game and then narrow down the rules of a particular game by observation.