conditioning on the policy but, in general that's not the case. The problem is that this is still extremely expensive. So DeepStack for example, in Heads up No-limit Texas Hold'em, use 1.5 million core hours of computation, and could not be prior top AIs. The other problem is that the technique currently does not scale to larger games, basically games where you have more states in an information set. This, you can get by with this in Heads-up No-Limits Texas Hold'em, because it's only about, in any single decision point,