Golaxy， while adopting AlphaGo‘s basic architecture， has brought innovations into feature combination， model structure， and MCTS calculation methods。 It manages to complete model training with less computing resources or training samples， yet with the potential to achieve the highest possible Go level by AI。
Golaxy tries to play Go in a style that is easier for human players to understand and to learn。 It can play Go on boards of all sizes and all komi settings。 Golaxy will not concede even when leading。
