[elgwjvis] AI to draw an endgame

apply neural network machine learning on positions of a theoretically drawn but hard to defend chess endgame such as KRBKR.  can an AI playing the weaker side learn a policy to maintain a draw?  inspired by an AI learning to drive, not falling off the road, in the game Trackmania.

with overfitting, this is of course possible, so seek a small, or the smallest, neural network.

the AI can be tested against a tablebase.

during training, should the AI be immediately punished once it "falls" from a tablebase drawn position, or should it be punished only when checkmated?  the latter might be helpful for the AI to learn the underlying structure of the game.

previously, a human doing the learning.