课程设计(仿AlphaZero算法)完成 level2完成至PI#14
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1、五子棋游戏
1.1、五子棋游戏逻辑 ······ √
1.2、五子棋游戏界面(使用EasyX) ······ √
2、蒙特卡洛树搜索(使用C语言)
2.1、博弈树构建基本方法 ······ √
2.2、反向传播更新节点 ······ √
2.3、最大置信上界(UCT)算法 ······ √
2.4、博弈树搭建 ······ ×
2.5、模拟策略(策略网络) ······ ×
3、卷积神经网络(基于Pytorch)
3.1、预处理卷积神经网络 ······ ×
3.2、价值网络
3.2.1、卷积层 ······ ×
3.2.2、全连接层 ······ ×
3.3、策略网络(模拟策略)
3.3.1、卷积层 ······ ×
3.3.2、全连接层 ······ ×
4、收尾
4.1、连接神经网络与博弈树 ······ ×
4.2、自我对弈 ······ ×
4.3、与玩家对弈 ······ ×
1、五子棋游戏完成 2、MCTS完成 当前任务： * 神经网络 * 神经网络接口 * 模型训练
1、五子棋游戏完成 2、MCTS完成 当前任务： * 神经网络 * 神经网络接口 * 模型训练 FIX: 改进代码结构，与神经网络更加兼容
1、MCTS完成 2、神经网络完成 3、优化UI 当前任务： 1、代码测试 2、神经网络接口 3、模型训练
神经网络测试完成
神经网络主体测试完成 神经网络模型读写测试完成 神经网络数据转换测试完成
所有模块测试完毕！ 准备编写主函数训练算法
Mgepahmge
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Mgepahmge
changed the title
准备编写主函数训练算法
Mgepahmge
changed the title
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