登录
首页 » matlab » 不同条件下的MAB问题

不同条件下的MAB问题

于 2016-03-23 发布 文件大小:4847KB
0 280
下载积分: 1 下载次数: 43

代码说明:

  包含不同条件下的MAB问题 仿真,还有仿真结果图例(include MAB PROBLEM policyBayesUCB.m policyCPUCB.m policyDMED.m policyGittins.m policyKLUCB.m )

文件列表:

MAB-ucb
.......\maBandits
.......\.........\data
.......\.........\....\GI.mat,4348010,2012-07-06
.......\.........\demo.m,3895,2012-06-06

.......\.........\experiment.m,1637,2012-06-06
.......\.........\Game.m,472,2012-06-05
.......\.........\gameBernoulli.m,1285,2012-06-05
.......\.........\gameExp.m,1937,2012-06-05
.......\.........\gamePoisson.m,2200,2012-06-05
.......\.........\plotResults.m,2818,2012-06-06
.......\.........\Policy.m,461,2012-06-05
.......\.........\policyBayesUCB.m,1577,2012-06-05
.......\.........\policyCPUCB.m,1411,2012-06-05
.......\.........\policyDMED.m,2703,2012-06-05
.......\.........\policyGittins.m,6431,2012-06-06
.......\.........\policyKLempUCB.m,4422,2012-06-05
.......\.........\policyKLUCB.m,2890,2012-06-05
.......\.........\policyKLUCBexp.m,2873,2012-06-05
.......\.........\policyKLUCBpoisson.m,2770,2012-06-05
.......\.........\policyMOSS.m,1451,2012-06-05
.......\.........\policyThompson.m,1191,2012-06-05
.......\.........\policyUCB.asv,2117,2015-12-08
.......\.........\policyUCB.m,2117,2015-12-08
.......\.........\policyUCBtuned.m,2079,2012-06-05
.......\.........\policyUCBV.m,1613,2012-06-05
.......\.........\README.txt,6094,2016-01-05
.......\.........\results
.......\.........\.......\2abis_n_500_N_20_policyBayesUCB.mat,10139,2016-01-05
.......\.........\.......\2abis_n_500_N_20_policyCPUCB.mat,10287,2016-01-05
.......\.........\.......\2abis_n_500_N_20_policyDMED.mat,10576,2016-01-05
.......\.........\.......\2abis_n_500_N_20_policyGittins.mat,9235,2016-01-05
.......\.........\.......\2abis_n_500_N_20_policyKLempUCB.mat,10363,2016-01-05
.......\.........\.......\2abis_n_500_N_20_policyKLUCB.mat,10364,2016-01-05
.......\.........\.......\2abis_n_500_N_20_policyMOSS.mat,10056,2016-01-05
.......\.........\.......\2abis_n_500_N_20_policyThompson.mat,10319,2016-01-05
.......\.........\.......\2abis_n_500_N_20_policyUCB.mat,10868,2016-01-05
.......\.........\.......\2abis_n_500_N_20_policyUCBtuned.mat,10840,2016-01-05
.......\.........\.......\2abis_n_500_N_20_policyUCBV.mat,11293,2016-01-05
.......\.........\.......\E5b_n_2000_N_20_policyKLempUCB.mat,40887,2016-01-05
.......\.........\.......\E5b_n_2000_N_20_policyKLUCB.mat,43350,2016-01-05
.......\.........\.......\E5b_n_2000_N_20_policyKLUCBexp.mat,41443,2016-01-05
.......\.........\.......\E5b_n_2000_N_20_policyMOSS.mat,42380,2016-01-05
.......\.........\.......\E5b_n_2000_N_20_policyUCB.mat,43710,2016-01-05
.......\.........\.......\E5b_n_2000_N_20_policyUCBtuned.mat,44151,2016-01-05
.......\.........\.......\E5b_n_2000_N_20_policyUCBV.mat,47617,2016-01-05
.......\.........\.......\E5_n_2000_N_20_policyKLUCBexp.mat,40631,2016-01-05
.......\.........\.......\E5_n_2000_N_20_policyUCBtuned.mat,38484,2016-01-05
.......\.........\.......\P6b_n_2000_N_20_policyKLempUCB.mat,27572,2016-01-05
.......\.........\.......\P6b_n_2000_N_20_policyKLUCB.mat,33837,2016-01-05
.......\.........\.......\P6b_n_2000_N_20_policyKLUCBpoisson.mat,24295,2016-01-05
.......\.........\.......\P6b_n_2000_N_20_policyMOSS.mat,32026,2016-01-05
.......\.........\.......\P6b_n_2000_N_20_policyUCB.mat,35910,2016-01-05
.......\.........\.......\P6b_n_2000_N_20_policyUCBtuned.mat,35346,2016-01-05
.......\.........\.......\P6b_n_2000_N_20_policyUCBV.mat,37573,2016-01-05
.......\pyBandits
.......\.........\arm
.......\.........\...\Arm.py,193,2012-06-14
.......\.........\...\Bernoulli.py,391,2012-06-14
.......\.........\...\Exponential.py,560,2012-06-14
.......\.........\...\Gaussian.py,431,2012-06-14
.......\.........\...\Poisson.py,678,2012-06-14
.......\.........\...\__init__.py,165,2012-06-14
.......\.........\C
.......\.........\.\kullback.c,8286,2012-06-14
.......\.........\.\Makefile,163,2012-06-14
.......\.........\.\README.txt,457,2012-06-14
.......\.........\.\setup.py,408,2012-06-14
.......\.........\demo.py,2211,2012-07-04
.......\.........\environment
.......\.........\...........\Environment.py,240,2012-06-14
.......\.........\...........\MAB.py,828,2012-06-14
.......\.........\...........\__init__.py,206,2012-06-14
.......\.........\Evaluation.py,1470,2012-07-04
.......\.........\kullback.py,5693,2012-06-14
.......\.........\policy
.......\.........\......\BayesUCB.py,943,2012-06-14
.......\.........\......\IndexPolicy.py,685,2012-06-14
.......\.........\......\KLempUCB.py,1826,2012-06-14
.......\.........\......\klUCB.py,1454,2012-06-14
.......\.........\......\Policy.py,360,2012-06-14
.......\.........\......\Thompson.py,847,2012-06-14
.......\.........\......\UCB.py,726,2012-06-14
.......\.........\......\UCBV.py,1337,2012-06-14
.......\.........\......\__init__.py,179,2012-06-14
.......\.........\posterior
.......\.........\.........\Beta.py,844,2012-06-14
.......\.........\.........\Posterior.py,258,2012-06-14
.......\.........\.........\__init__.py,192,2012-06-14
.......\.........\README.txt,3176,2012-07-05
.......\.........\Result.py,955,2012-07-04
.......\README.txt,4889,2012-07-06

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • SendTestData_2
    从声卡SPEAK 端 输出1HZ 锯齿波。 MATLAB编程(generating 1 Hz sawtooth from the Sound card )
    2009-04-18 10:19:39下载
    积分:1
  • Eulermethod
    Euler s method for integration of a single, first order ODE
    2011-05-18 22:36:53下载
    积分:1
  • LMFnlsq2testPDF
    L-M(Levenberg—Marquardt)是一种非线性最优化里面最常用的方法之一,改方法能快速而准确的逼近收敛值。本文简述了改方法的操作原理和具体运用,如可以方便的用于有约束与无约束最优化的求解。(L- M (Levenberg- Marquardt) is a kind of nonlinear optimization inside one of the most commonly used method, change method can fast and accurate approximation convergence value.This paper briefly describes the operating principle of change method and concrete application, such as easy to solve constrained and unconstrained optimization.)
    2014-11-12 22:01:25下载
    积分:1
  • NonLinear_original-2-minus0.1
    ABAQUS UMAT 带剪切非线性HASHIN准则(ABAQUS UMAT)
    2015-10-16 16:42:12下载
    积分:1
  • System-Identification-of-an-ARARX-model-master
    说明:  使用MATLAB对MIMO系统进行辨识,其中有各种算法仿真算例,N4SID,针对多变量系统的一种识别算法(MOESP (Multivariable Output-Error State sPace) is a deterministic method to identify linear time invariant systems. The MOESP method developed by M. Verhaegen and P. Dewilde is based on the LQ decomposition of Hankel matrix formed from input-output data, where L is lower triangular and Q is orthogonal. A Singular Value Decomposition (SVD) can be performed on a block from the L (L22) matrix to obtain the system order and the extended observability matrix. From this matrix it is possible to estimate the matrices C and A of state-space model. The final step is to solve overdetermined linear equations using the least-squares method to calculate matrices B and D.)
    2021-02-09 22:29:53下载
    积分:1
  • zuisuxiajiangfa
    最速下降法优化,无约束,可以自己改进。很容易懂有简单的说明。(Steepest descent method optimization, non-binding, can improve. There is a simple easy to understand explanation.)
    2009-03-31 18:31:24下载
    积分:1
  • mfsetup
    说明:  用C语言编的wimax 信道模型,绝对原创!(Wimax compiled by C language channel model, the absolute original!)
    2011-02-25 15:31:17下载
    积分:1
  • b
    说明:  matlab实现运动模糊图像的模糊长度的自动鉴别(Matlab implementation of motion blurred image fuzzy length automatic identification)
    2012-05-03 19:21:39下载
    积分:1
  • eemd
    这个可用用,是标准的,同时试用与EMD,中央大学数据下载(This can be used, is the standard, while the trial with the EMD, the Central University of data download)
    2011-11-03 19:54:50下载
    积分:1
  • JLSDJLDS23
    【matlab编程代做】基于matlab正弦扫频源码([Do] matlab matlab-based programming on behalf of the swept sine source)
    2015-01-25 00:11:06下载
    积分:1
  • 696516资源总数
  • 106409会员总数
  • 8今日下载