RL is useful for action selection and planning. Actually determining the mechanics of the game can be achieved with explicit instruction and definition of an action set.

I suppose whether you find this result intriguing or not depends on if you’re looking to build result-building planning agents over an indeterminate (and sizable!) time horizon, in which case this is a SOTA improvement and moderately cool, or if you’re looking for a god in the machine, which this is not.