How to build your own AlphaZero AI using Python and Keras

There are two amazing things about this achievement: 1. AlphaZero requires zero human expertise as input It cannot be overstated how important this is. This means that the underlying methodology of AlphaGo Zero can be applied to ANY game with perfect information (the game state is fully known to both players at all times) because no prior expertise is required beyond the rules of the game. This is

[stealthinu]

自分でAlphaZeroを作るチュートリアル。サンプルは４目並べゲーム。

[takuya0411]

KerasでAlphaZeroを作る方法

[hogeai]

RT @sylvan5: “How to build your own AlphaZero AI using Python and Keras” by David Foster https://t.co/TyeNNwG7eX

[elu_18]

AlphaZero (Self-Play + MCTS + ResNet の最新 AlphaGo) を実装して四目並べをプレイさせるチュートリアル． 真ん中から積み重ねる戦略を自力で獲得してて面白い． コード: https://t.co/03TYD8qwnp https://t.co/2FBIb1J0S9

[unagiga]

oh,fuck...I can't read English.