markstanl/u3t

U3T蒙特卡洛树搜索位置评估数据集，包含超过800万个Ultimate Tic-Tac-Toe游戏位置的不同深度玩法的评价。这些评价提供了关于特定游戏位置或动作对玩家有利程度的概率估计。数据集适用于训练能够玩U3T游戏或评估静态位置的人工智能模型。U3T Monte Carlo Tree Search Position Evaluations dataset containing over 8 million evaluated positions at varying depths of play for the Ultimate Tic-Tac-Toe game. These evaluations provide probabilistic estimates of the advantage of a given game position or move for a player. The dataset is suitable for training AI models to play U3T or evaluate static positions.