Well the majority of ML systems are compression machines (entropy minimizers), so ideally you'd want to see if you can learn the assets and game mechanics through play alone (what this paper shows). Better would be to do so more efficiently than that devs themselves, finding better compression. Certainly the game is not perfectly optimized. But still, this is a step in that direction. I mean no one has accomplished this before so even with a model with far higher capacity it's progress. (I think people are interpreting my comment as dismissive. I'm critiquing but the key point I was making was about how there's likely better architectures, training methods, and all sorts of stuff to still research. Personally I'm glad there's still more to research. That's the fun part)