02-12-2020, 03:41 PM
I suppose you're looking for a tensor representation of states, for (deep) learning?
In our next version we will be able to construct [n, x, y] tensors for most of our game states, where the number of channels n differs from game to game, and x and y can (mostly) be interpreted in a meaningful way as spatial coordinates. These things will often be pretty big though, and still not always guaranteed to contain perfect information -- in particular in stacking games.
There might still be a few cases that we cannot yet support in our next version -- like games where pieces are placed not solely on the vertices of a board's graph representation, but also on edges and/or faces. The vast majority of our games should be supported though, at least with an initial attempt at building good tensors for states.
In our next version we will be able to construct [n, x, y] tensors for most of our game states, where the number of channels n differs from game to game, and x and y can (mostly) be interpreted in a meaningful way as spatial coordinates. These things will often be pretty big though, and still not always guaranteed to contain perfect information -- in particular in stacking games.
There might still be a few cases that we cannot yet support in our next version -- like games where pieces are placed not solely on the vertices of a board's graph representation, but also on edges and/or faces. The vast majority of our games should be supported though, at least with an initial attempt at building good tensors for states.