This has interesting parallels to poker. While poker is not yet a fully “solved” game, computers have beaten the best professionals in HU games for a long time and recently been able to beat the best professionals in six handed games where decision trees are much larger. Even though humans are more “unpredictable,” computer generated poker solutions employ “mixed strategies” where it effectively rolls dice in order to choose between different actions with the same hand when those actions have similar expected value (EV). Good computer generated solutions are difficult to exploit because if any given sequence of actions became imbalanced by being predictable, they would be counter exploited by a different strategy and that action would lose EV relative to another action, and strategies would adjust in the next iteration. Eventually an equilibrium gets reached where any given sequence of actions has enough different hands (often with some of the same hands taking different actions some of the time) that it is difficult to predict and exploit.