[klmadfejno]

By predefined, I meant comprised from a pool of cards that the AI is familiar with. But now that I think about it, it is a much more interesting problem. Most of the big name bots, like the dota one, do have some model for picking a character. But the scope of choices is very limited to the point where even if it's "one model" it can have a large space dedicated to specifically that character. Would current techniques be sufficient to, given enough training data on each individual card, be able to compose a deck to fit arbitrarily assigned constraints and find a way to play it effectively? I don't know, but the answer sounds a lot closer to the idea of "strategy" that researchers are trying get at but missing the mark on in Starcraft and what not.

I have no idea how they'd handle that. It's a great way to prevent the bot from learning a single dominant strategy and trying to just execute it perfectly.