Getting the game state data means deciding a-priori what features the AI should learn on. The whole point of the deep learning paradigm is to allow a machine to learn such features that enable good prediction, visualization, generation (aka. hallucination), etc.
Instead, researchers have provided the raw feed input data to these agents with the hope that the learned features could be interpreted as game state data by humans.
Instead, researchers have provided the raw feed input data to these agents with the hope that the learned features could be interpreted as game state data by humans.