I'd argue modern AI is sort of terrible at taking high dimensional data and finding an effective representation of it. It works better than a lot of other methods in ML but as far as I know pure reinforcement learning applications are sort of lack luster, and even dimensionality reduction success stories tend to rely on scrubbed, careful data treatment by people.