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                    <a href="https://www.cnblogs.com/qingyunzong" title="扎心了，老铁" target="_blank">扎心了，老铁</a>
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Reinforcement Learning(1) | ZIcesun

http://zicesun.com/2018/06/03/201803272000-reinforcement-learning-1/

开始写强化学习这个系列的文章，主要是为了记录学习过程中学习到的知识点，分享自己的理解。 强化学习简介强化学习（英语：Reinforcement learning，简称RL）是机器学习中的一个领域，强调如何基于环境而行动，以取得最大化的预期利益。其灵感来源于心理学中的行为主义理论，即有机体如何在环境给予的奖励或惩罚的刺激下，逐步形成对刺激的预期，产生能获得最大利益的习惯性行为。 强化学习涉及很多学

Reinforcement Learning(2)——MDPs | ZIcesun

http://zicesun.com/2018/06/10/20180610-reinforcement-learning-MDP/#more

上一篇文章强化学习——简介简单介绍了一下强化学习的相关概念。这篇博客将引入 马尔科夫决策过程(Markov Decision Processes, MDPs)对强化学习进行建模。这篇文章，将对马尔科夫决策过程以及Q-leaning进行介绍。 马尔科夫过程 定义: 若随机过程 $ \left \lbrace X_n, n \in T \right \rbrace$对于任意非负正整数$n \in T

五种IO模型 | ZIcesun

http://zicesun.com/2019/07/07/201907071452-IO-model-1/#more

之前看了一点关于IO的模型，在看JAVA的时候，IO也是很重要的部分，其中最关键的NIO也是重中之重。在Java中，有三种IO模型，分别是阻塞IO（Block IO），非阻塞IO（NIO）和异步IO（AIO）。本篇笔记中的IO模型指的是操作系统中的IO模型，上面JAVA中的IO模型是只是Java API中的几种IO实现。

pytorch实现数据数据读取 | ZIcesun

https://zicesun.com/2019/01/11/pytorch-dataLoder-datasets/

在学习的过程中,遇到很多的问题.在训练模型的时候,需要对数据进行读取操作.本篇文章,介绍pytorch如何自定义数据dataset和dataloader.在pytorch中,提供了Dataset这个类,负责对数据进行抽象,一次调用只返回第一个同样本.而Dataloader提供了对一个对一个batch的数据操作,还有对数据进行shuffle等功能. DatasetDataset是一个抽象类,表示一个

Reinforcement Learning(1) | ZIcesun

http://zicesun.com/2018/06/03/reinforcement-learning-1/

开始写强化学习这个系列的文章，主要是为了记录学习过程中学习到的知识点，分享自己的理解。 强化学习简介强化学习（英语：Reinforcement learning，简称RL）是机器学习中的一个领域，强调如何基于环境而行动，以取得最大化的预期利益。其灵感来源于心理学中的行为主义理论，即有机体如何在环境给予的奖励或惩罚的刺激下，逐步形成对刺激的预期，产生能获得最大利益的习惯性行为。 强化学习涉及很多学

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