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=KataGo=
KataGo is a [[Go]] playing entity inspired by the [[AlphaZero]] approach of combining [[Deep Learning|Deep learning]] with [[Monte-Carlo Tree Search]] (MCTS) using pure [[Reinforcement Learning|reinforcement learning]] aka self play to train the [[Neural Networks|deep neural network]].
Due to modifications and enhancements of the AlphaZero-like training process, self-play with a only few strong [[GPU|GPUs]] of between one and several days is sufficient to reach somewhere in the range of strong-kyu up to mid-dan strength on the full 19x19 board <ref>[https://github.com/lightvector/KataGo/blob/master/README.md KataGo/README.md at master · lightvector/KataGo · GitHub]</ref>.
