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基于Q学习的路径仿真代码

于 2020-06-24 发布

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下载积分: 1 下载次数: 5

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代码说明：

说明：这是一个关于基于Q学习的路径仿真代码，欢迎交流指正学习。(Path simulation code based on Q-learning, welcome to correct)

文件列表：

基于Q学习的路径仿真代码, 0 , 2020-06-24
基于Q学习的路径仿真代码\drnd.m, 262 , 2020-06-24
基于Q学习的路径仿真代码\QDemo.m, 613 , 2020-06-24
基于Q学习的路径仿真代码\Qlearning.m, 2037 , 2020-06-24

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boundary_sbm
本算法在左右只延拓极大极小值点各一个， isbm是判断是否进行isbm的算法，默认进行sbm而非isbm，默认进行isbm算法了(In this algorithm, an isbm algorithm is used to determine whether isbm is performed, and isbm is used by default)

2017-11-22 16:53:26下载

积分：1
frmGoodsReturn.designer
说明： Quan-l-trung-t-m-ti-ng-anh-master

2020-06-25 05:20:02下载

积分：1
代码
计算卸载在现代计算中越来越普遍。 [5]并行性，大量的运行时改进以及对外部资源的访问：将我们的应用程序连接到云端的趋势越来越大。这是由于同时进行功能改进和降低成本的愿望。(In this paper a framework for distributing computation amongst mobile de- vices on a local area network is considered. This framework is designated as the Mobile Device Cluster (MDC). This framework is constructed and open sourced for future development.)

2021-02-02 20:29:59下载

积分：1
Chinese chess source code can be difficult to set up and support two players, su...
中国象棋源代码，可以设置难度，支持两人对弈，可作为设计此类游戏的参考-Chinese chess source code can be difficult to set up and support two players, such as game design reference

2022-04-13 00:38:52下载

积分：1
最新的，很好的PDF阅读器，无需要安装，单文件直接运行并注册文件类型...
最新的，很好的PDF阅读器，无需要安装，单文件直接运行并注册文件类型-The latest, very good PDF reader, no need to install a single file to run directly to and register file types

2023-08-26 04:10:06下载

积分：1
vof
FLUENT软件，定义速度入口中,不同位置的相分数(Define the phase fractions at different positions in the velocity inlet)

2020-07-28 11:58:40下载

积分：1
0832
8086-0832的实验C语言很实用 (8086-0832 C language is very useful experimental)

2011-01-02 16:05:31下载

积分：1
基于数字信号处理器的运动控制，电子的文章比较好，我用的项目参考
基于dsp的运动控制，比较好的电子文章，我以前项目参考用的-Dsp based motion control, electronic article better, I used the item reference

2023-01-30 18:10:04下载

积分：1
1-s2.0-S0957417410009899-main
In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) is improved by hybridizing it with the harmony search (HS) algorithm and the resulting algorithm is abbreviated as DMS-PSO-HS. We present a novel approach to merge the HS algorithm into each sub-swarm of the DMS-PSO. Combining the exploration capabilities of the DMS-PSO and the stochastic exploitation of the HS, the DMSPSO-HS is developed. The whole DMS-PSO population is divided into a large number of small and dynamic sub-swarms which are also individual HS populations. These sub-swarms are regrouped frequently and information is exchanged among the particles in the whole swarm. The DMS-PSO-HS demonstrates improved on multimodal and composition test problems when compared with the DMS-PSO and the HS.

2018-02-09 15:58:17下载

积分：1
IConDate
IConDate

2022-02-18 14:43:00下载

积分：1

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基于Q学习的路径仿真代码

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