The concepts of the DNQ agent are surely alien to us—because it’s world is alien. At least if you think of the world as what it is: A bunch of coordinates and movement-patterns. The 2D visualization is just a rendering to even allow humans to deal with it in familiar categories. And that is what we do: We use our pre-existing categories to play it well. Over time an experienced player will improve these toward what the DNQ starts to aquire from scratch.
I’d bet that it possible to map the DNQ representations to player coodinate, enemy hight and something that amounts to the aim of a shot. At least if the NN is deep and wide enough.
The concepts of the DNQ agent are surely alien to us—because it’s world is alien. At least if you think of the world as what it is: A bunch of coordinates and movement-patterns. The 2D visualization is just a rendering to even allow humans to deal with it in familiar categories. And that is what we do: We use our pre-existing categories to play it well. Over time an experienced player will improve these toward what the DNQ starts to aquire from scratch.
I’d bet that it possible to map the DNQ representations to player coodinate, enemy hight and something that amounts to the aim of a shot. At least if the NN is deep and wide enough.