mario_rl:强化学习应用于马里奥

上传者: 42099815 | 上传时间: 2025-12-14 16:44:03 | 文件大小: 24.58MB | 文件类型: ZIP
这是同时进行所有32个级别的培训的10秒快照。 当前任务 创建一个新的GameRunner类以运行多个级别并将结果同步到一个主模型中。 例如,不是在一个级别上进行训练,而是在所有32个级别上进行训练(并行!),然后更新模型。 其他任务 替换整洁的python库(可能是为了娱乐而创建一个自定义库) 构建自定义检查点系统(或了解如何解决整洁的Python索引错误) 添加有关如何生成“良好”配置文件的信息-时间戳为1566017738的配置是“最佳”配置之一 绘制随机超参数作为人口规模的函数。 看看前20个左右的人口是否少。 将此添加到自述文件。 使用自述文件将生成的数据移至外部存储,其中每个数据文件夹分别是什么以及是否已在其上运行实验。 (此存储库中未包括的数据为许多GB,但应保留其中一些数据以作进一步研究。) 完成主自述文件:) 添加有关使用一些数据和图形进行超参数搜索的文档。 有

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