强化学习之 免模型学习(model-free based learning) ------ 蒙特卡罗强化学习 与 时序查分学习 ------ 部分节选自周志华老师的教材<机器学习> 由于现实世界当中,很难获得环境的转移概率,奖赏函数等等,甚至很难知道有多少个状态.倘若学习算法是不依赖于环境建模,则称为“免模型学习(model-free learning)”,这比有模型学习要难得多. 1. 蒙特卡罗强化学习: 在免模型学习的情况下,策略迭代算法会遇到几个问题: 首先,是策略无法评估,因为无法做全…

https://www.gamedesigning.org/learn/game-based-learning/ I remember days gone by at elementary school when we would all file into the computer lab. We would all get a computer and boot up educational games like Math Blaster and Oregon Trail. Although…

Forty years of research[i] says yes, games are effective learning tools. People learn from games, and they will learn more from a game than from other forms of learning.[ii] However, most people don’t get whygames work, which causes them to dismiss g…

chip types Transistor mode of operation Digital chip: 0/1  -> digital clac Analog chip: sound / blight -> physical phenomena Function of chip Processor chip: CPU Memory storage chip: DRAM / NAND Flash Specific function chip: WIFI / Bluetooth / Power…

简单整理了一些嵌入式底层需要接触的相关概念.   # CPU  CU. Control Unit. send need-clac-data -> ALU clac -> get result send back -> to save in memory ALU Arithmetic Logic Unit.  Binary clac, such as add/sub/mult(except interger division)  MMU. Memory Management Unit. …

from: http://www.erogol.com/broad-view-machine-learning-libraries/ http://www.slideshare.net/VincenzoLomonaco/deep-learning-libraries-and-rst-experiments-with-theano FEBRUARY 6, 2014 EREN 1 COMMENT Especially, with the advent of many different and in…

A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python) MACHINE LEARNING PYTHON R   SHARE      MANISH SARASWAT, APRIL 12, 2016 / 52     Introduction Tree based learning algorithms are considered to be one of the best and mostly used s…

 ICIC Express Letters                  ICIC International ⓒ2010 ISSN 1881-803X Volume4, Number5, October 2010                                                pp.1–6   A Novel Multi-label Classification Based on PCA and ML-KNN Di Wu, Dapeng Zhang, Fe…

http://blog.csdn.net/pipisorry/article/details/48894963 海量数据挖掘Mining Massive Datasets(MMDs) -Jure Leskovec courses学习笔记之Nearest-Neighbor Learning,KNN最近邻学习 {The module is about large scale machine learning.} Supervised Learning监督学习 Note: y有多种不同的形式,对应不同…

In this post we take a tour of the most popular machine learning algorithms. It is useful to tour the main algorithms in the field to get a feeling of what methods are available. There are so many algorithms available and it can feel overwhelming whe…