可靠:强化学习的分布式超参数优化框架-源码

上传者: 42099987 | 上传时间: 2021-03-02 10:05:28 | 文件大小: 39KB | 文件类型: ZIP
责任 RLiable是用于增强学习代理的快速超参数调整的实验并行化框架。 它旨在满足对可分发的Spark / TF兼容模型的需求,该模型允许以简单reliable方式扩展实验。 执行 先决条件: 版本 Python > = 3.6 火花 3.0.1 Hadoop 2.7 Java 1.8 Scala 2.11 注意: scripts/install_spark_hpc.sh提供了Linux(基于Debian)安装脚本。 安装要求 创建virtualenv并安装Python依赖项 virtualenv -p $( which python3 ) env source env/bin/activate pip install -r requirements.txt pip install -r dqn-requirements.txt 进行实验 当前的优化算法基于配置标志opt

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