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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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课程设计(仿AlphaZero算法)-进度:蒙特卡洛树搜索基本完成-(王明宇)
课程设计(仿AlphaZero算法)-进度:全部模块测试完成,主函数待完成
Dec 6, 2023
Mgepahmge
changed the title
课程设计(仿AlphaZero算法)-进度:全部模块测试完成,主函数待完成
课程设计(仿AlphaZero算法)-进度:全部模块测试完成,主函数待完成(王明宇)
Dec 6, 2023
准备编写主函数训练算法
Mgepahmge
changed the title
课程设计(仿AlphaZero算法)-进度:全部模块测试完成,主函数待完成(王明宇)
课程设计(仿AlphaZero算法)完成 level2完成至PI
Dec 13, 2023
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