Dynamic Programming and Policy Evaluation
Dynamic Programming divides the original problem into subproblems, and then complete the whole task by recursively conquering these subproblems. The key idea of DP, and of reinforcement learning generally, is the use of value functions to organize and structure the search for good policies. It assumes the full knowledge of the environment: someone tells us the state space, action space, transition struction, the reward structure, discounted factor...
We start with policy evaluation: given the MDP and an arbitary Policy π, we use Bellman Equation to recursively calculate the State-Value function:
And the policy evaluation algorithm is given by following:
The stop criteria is only very small change for the value state function.
The example is a GridWorld puzzle, the task is to reach grey cell with most reward. The policy for the possible actions (up,down,left,right) are equivalent, all 25%.
Like a random walk, after calculation, we got :
Dynamic Programming and Policy Evaluation的更多相关文章
- 强化学习三:Dynamic Programming
1,Introduction 1.1 What is Dynamic Programming? Dynamic:某个问题是由序列化状态组成,状态step-by-step的改变,从而可以step-by- ...
- Monte Carlo Policy Evaluation
Model-Based and Model-Free In the previous several posts, we mainly talked about Model-Based Reinfor ...
- Ⅲ Dynamic Programming
Dictum: A man who is willing to be a slave, who does not know the power of freedom. -- Beck 动态规划(Dy ...
- 动态规划 Dynamic Programming
March 26, 2013 作者:Hawstein 出处:http://hawstein.com/posts/dp-novice-to-advanced.html 声明:本文采用以下协议进行授权: ...
- Dynamic Programming
We began our study of algorithmic techniques with greedy algorithms, which in some sense form the mo ...
- HDU 4223 Dynamic Programming?(最小连续子序列和的绝对值O(NlogN))
传送门 Description Dynamic Programming, short for DP, is the favorite of iSea. It is a method for solvi ...
- hdu 4223 Dynamic Programming?
Dynamic Programming? Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/65536 K (Java/Oth ...
- XACML-条件评估(Condition evaluation),规则评估(Rule evaluation),策略评估(Policy evaluation),策略集评估(PolicySet evaluation)
本文由@呆代待殆原创,转载请注明出处. 一.条件评估(Condition evaluation) <Condition>元素缺失时或评估结果为真时,条件值为True. <Condit ...
- 算法导论学习-Dynamic Programming
转载自:http://blog.csdn.net/speedme/article/details/24231197 1. 什么是动态规划 ------------------------------- ...
随机推荐
- switch语句小练习
java有两钟选择判断语句,分别是if else和switch case语句. 下面我们做一个switch case语句的练习. // 定义一个扫描器 Scanner sacnner = new Sc ...
- 卷积神经网络基础(CNN)【转载】
作者: Sanjay Chan [ http://blog.csdn.net/chenzomi ] 背景 之前在网上搜索了好多好多关于CNN的文章,由于网络上的文章很多断章取义或者描述不清晰,看了很多 ...
- /etc/nscd.conf - 域名服务缓存守护进程配置文件
描述 DESCRIPTION 该文件 /etc/nscd.conf 在启动 nscd(8) 时读入.每一行或者指定一个属性和值,或者指定一个属性.服务和一个值.域之间通过空格或者TAB分开.‘#’表示 ...
- Cobbler自动化装机
Cobbler自动化装机 一个可以实现批量安装系统的Linxu应用程序,他可以实现同个服务器安装不同操作系统版本. 准备环境 开启两个网卡.一个仅主机模式,一个桥接模式,仅主机模式对内提供cobble ...
- 4--面试总结-promise
promise异步原理: 定义:promise是异步编程的解决方案,可以解决异步回调地狱的问题: 原理:三种状态两种结果的一个状态机:三种状态(pending,fulfilled,rejected)两 ...
- oozie与hue整合 执行WC案例报错: 连接10020端口被拒绝
Call From hdp-05/192.168.230.15 to hdp-01:10020 failed on connection exception: java.net.ConnectExce ...
- noip2017简要题解。
重新写了一下去年的题来看看自己到底是有多傻逼. 小凯的疑惑 打表. 时间复杂度 搞了一大坨题面,但是真正有用的信息只有几个: 判断他给你的复杂度是多少. 判断当前循环进不进的去. 判断当前循环产生的贡 ...
- 【前端】JavaScript基础
1 什么是js JavaScript是一种运行在浏览器中的解释型的编程语言 1.1 js引用 使用<script></script>标签 <script src=&quo ...
- MySQL/mariadb知识点总结
1.mysql/mariadb知识点总结:事务相关概念(事务总结-1) http://www.zsythink.net/archives/1204 2.mysql/mariadb知识点总结:事务控制语 ...
- Apach Hadoop 与 CDH 区别
1.Apache Hadoop 不足之处 • 版本管理混乱 • 部署过程繁琐.升级过程复杂 • 兼容性差 • 安全性低 2.Hadoop 发行版 • Apache Hadoop • Cloudera’ ...