搜索资源列表
Othello
- 使用java编写的GUI的黑白棋游戏,搜索算法采用经典的博弈树,并在此基础上做了大量优化,我的评估函数采用了Simon M. Lucas 和 Thomas P. Runarsson 在其合作发表的 Temporal Difference Learning Versus Co-Evolution for Acquiring Othello Position Evaluation 中通过对比即时差分学习(TDL,Temporal Difference Learning)和协同进化(CEL,Co-
Alpha_Beta
- 对于给定的Alpha_Beta博弈树,使用Alpha_Beta剪枝算法对其进行剪枝,输出剪掉的结点。-For a given Alpha_Beta game tree pruning algorithm using Alpha_Beta tree was pruned to cut output nodes.
chess2.0
- 人工智能博弈树,采用极大极小搜索和α-β剪枝算法,搜索深度为2的棋盘博弈-Artificial intelligence game tree, using the minimax search with alpha beta pruning algorithm, the search depth is a chessboard game of 2