强化学习精要 核心算法与TensorFlow实现-1积分

上传者: u014044812 | 上传时间: 2020-02-02 03:16:30 | 文件大小: 76.54MB | 文件类型: zip
《强化学习精要 核心算法与TensorFlow实现》 冯超著 共386页; 内容简介 《强化学习精要 : 核心算法与 TensorFlow 实现》用通俗幽默的语言深入浅出地介绍 了强化学习的基本算法与代码实现,为读者构建了一个完整的强化学习知识体系,同 时介绍了这些算法的具体实现方式 。 从基本的马尔可夫决策过程,到各种复杂的强化 学习算法,读者都可以从本书中学习到 。 本书除了介绍这些算法的原理,还深入分析了 算法之间的内在联系 ,可以帮助读者举一反三,掌握算法精髓。 书中介绍的代码可以帮 助读者’快速将算法应用到实践中 。 《强化学习精要: 核心算法与TensorFlow实现》内容翔实,语言简洁易懂,既适合 零基础的人员人门学习,也适合相关科研人员研究参考。

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