In theory, reinforcement learning could solve this, but specifying the reward function is very hard and if you need human evaluation then it is very slow. I think it’s not quite as theoretical of a solution as evolutionary algorithms, as it’s been successfully applied to create very capable game playing agents before, but I think it’s very difficult to beat behavior trees or simple utility systems when it comes to creating characters that are fun to play with.