@kindwind If you want to try a neural net AI for TripleA, you would need to modify TripleA to support repeated self-play. For example of programs that support repeated self-play checkout Ludii & Chess Arena.
Supporting repeated self-play would be project of moderate difficulty in Java. (TripleA already supports self-play). You would need to learn Java (Vibe coding doesn't cut it).. Repeated self-play would also be useful for balancing mods.
I don't know how well a neural net would play TripleA. The number of possible moves in Go is a most 361, far fewer than the number of possible moves in a TripleA game. An effort to get a neural net to play a 2-player Risk variant did not go well.
One advantage is that TripleA already has heuristic AI's that could be used to train a neural net.