检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

128 篇 期刊文献
71 篇 会议

馆藏范围

199 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

181 篇 工学
- 91 篇 计算机科学与技术...
- 79 篇 电气工程
- 41 篇 控制科学与工程
- 37 篇 信息与通信工程
- 18 篇 石油与天然气工程
- 12 篇 软件工程
- 11 篇 机械工程
- 10 篇 仪器科学与技术
- 8 篇 电子科学与技术（可...
- 7 篇 动力工程及工程热...
- 5 篇 交通运输工程
- 4 篇 材料科学与工程（可...
- 4 篇 船舶与海洋工程
- 3 篇 土木工程
- 3 篇 环境科学与工程（可...
- 2 篇 建筑学
- 2 篇 水利工程
- 2 篇 航空宇航科学与技...
- 1 篇 光学工程
36 篇 管理学
- 34 篇 管理科学与工程(可...
- 5 篇 工商管理
23 篇 理学
- 12 篇 数学
- 5 篇 物理学
- 5 篇 系统科学
- 3 篇 化学
- 2 篇 生物学
- 1 篇 海洋科学
5 篇 经济学
- 4 篇 应用经济学
- 2 篇 理论经济学
2 篇 教育学
- 2 篇 教育学
1 篇 农学

主题

199 篇 q-learning algor...
52 篇 reinforcement le...
12 篇 learning (artifi...
11 篇 optimization
10 篇 path planning
9 篇 markov decision ...
8 篇 q-learning
7 篇 quality of servi...
6 篇 heuristic algori...
5 篇 convergence
5 篇 mobile robot
5 篇 resource allocat...
5 篇 machine learning
5 篇 dynamic scheduli...
4 篇 internet of thin...
4 篇 task analysis
4 篇 automatic genera...
4 篇 radio networks
4 篇 jamming attack
4 篇 cognitive radio ...

机构

3 篇 natl taiwan univ...
3 篇 mississippi stat...
2 篇 hong kong polyte...
2 篇 s china univ tec...
2 篇 northeastern uni...
2 篇 aristotle univ t...
2 篇 nanjing tech uni...
2 篇 northwestern pol...
2 篇 univ sains malay...
2 篇 nanyang technol ...
2 篇 kun shan univ te...
2 篇 mil acad tunisia...
2 篇 nagoya univ dept...
2 篇 hong kong polyte...
2 篇 china commun inf...
2 篇 jiangsu normal u...
1 篇 nanjing univ pos...
1 篇 beijing inst tec...
1 篇 hainan inst zhej...
1 篇 hangzhou dianzi ...

作者

3 篇 scheers bart
3 篇 stebel krzysztof
3 篇 suandi shahrel a...
3 篇 samma hussein
3 篇 mohamad-saleh ju...
3 篇 slimeni feten
3 篇 chen jiann-liang
3 篇 chtourou zied
3 篇 le nir vincent
2 篇 li ji
2 篇 wang xingwei
2 篇 xu yan
2 篇 liu dexing
2 篇 musial jakub
2 篇 xu zhao
2 篇 yang songpo
2 篇 czeczot jacek
2 篇 attia rabah
2 篇 lu en
2 篇 noori amin

语言

193 篇 英文
4 篇 其他
2 篇 中文
1 篇 德文

检索条件"主题词=Q-Learning algorithm"

共 199 条记录，以下是141-150 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Designing Model-free Control Law for Slowly Varying Nonlinear Systems Based on Reinforcement learning 25

Designing Model-free Control Law for Slowly Varying Nonlinea...

引用

25th Iranian Conference on Electrical Engineering (ICEE)

作者： Noori, Amin Sadrnia, Mohammad Ali Sistani, Mohammad Bagher Naghibi Shahrood Univ Technol Control Engn Shahrood Iran Ferdowsi Univ Mashhad Control Engn Mashhad Iran

ISBN: (纸本)9781509059638

A method to control general slowly varying nonlinear systems based on reinforcement learning is proposed. Based on the q-Ieaning algorithm a model-free control signal is designed. However, this control signal is numerical and also not smooth enough. Thus a polynomial is fitted to the control signal obtained by q-Iearning algorithm. A larger degree of polynomial leads to smaller fitting error. By this procedure, we have a smooth control signal which is easy to implement, moreover, the control signal is in a closed form and is not numerical any longer. This permits deep, elegant and powerful mathematical analysis of the nonlinear system and many properties of the system such as stability, controllability, chaos, limit cycles can be studied. The efficiency of the proposed technique is proved by using it in an example.

关键词： Reinforcement learning Slowly varying nonlinear systems q-learning algorithm

来源：评论

学校读者我要写书评

暂无评论

Practical aspects of the model-free learning control initialization 20

Practical aspects of the model-free learning control initial...

引用

20th International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Stebel, Krzysztof Silesian Tech Univ Inst Automat Control Gliwice Poland

ISBN: (纸本)9781479987016

The paper presents aspects of model-free learning control initialization. Model-free learning has several advantages as general purpose approach or adaptive capability. However, practical implementation is not intuitive in each step. Choice of time scale in order to provide the necessary reactivity or level of granularity of states or control actions is not an easy problem. Before it learns environment it may disturb process control in an unacceptable way. This is the motivation to find rules for easer initialization and controller set-up.

关键词： model-free control intelligent control learning control process control online learning q-learning algorithm

来源：评论

学校读者我要写书评

暂无评论

Dynamic Enhanced Inter-Cell Interference Coordination using Reinforcement learning Approach in Heterogeneous Network

Dynamic Enhanced Inter-Cell Interference Coordination using ...

引用

15th IEEE International Conference on Communication Technology (ICCT)

作者： Li, qi Xia, Hailun Zeng, Zhimin Zhang, Tiankui Beijing Univ Posts & Telecommun Beijing 100876 Peoples R China

ISBN: (纸本)9781479900749

This paper investigates enhanced Inter-Cell Interference Coordination (eICIC) techniques for Heterogeneous Networks (HetNets), and models this strategic coexistence as a multi-player system in which interference management strategies inspired from a form of reinforcement learning known as distributed q-learning are devised. Specifically, this paper focuses on time domain eICIC techniques in which each macrocell optimizes its Almost Blank Subframe (ABS) configuration consisted of ABS density and reduces power level. Instead of relying on predefined configuration, the system is designed to learn optimal ABS configurations by directly interacting with the environment. To substantiate our theoretical findings, system level simulations are carried out in which our proposed solution is compared with the conventional approach that ABS configuration is fixed. Our proposed solution is shown to yield substantial gains of user throughput compared to fixed ABS configuration.

关键词： Heterogeneous Networks (HetNet) enhanced Inter-Cell Interference Coordination (eICIC) q-learning algorithm Almost Blank Subframe (ABS) configuration

来源：评论

学校读者我要写书评

暂无评论

Multi-agent reinforcement learning for strategic bidding in power markets

Multi-agent reinforcement learning for strategic bidding in ...

引用

3rd IEEE International Conference on Intelligent Systems

作者： Tellidou, Athina C. Bakirtzis, Anastasios G. Aristotle Univ Thessaloniki Dept Elect & Comp Engn Thessaloniki 54124 Greece

ISBN: (纸本)9781424401956

In the agent-based simulation discussed in this paper, we study the dynamics of the power market, when suppliers act following a q-learning based bidding strategy. Power suppliers aim to satisfy two objectives: the maximization of their profit and their utilization rate. To meet with success their goals, they need to acquire a complex behavior by learning through a continuous exploiting and exploring process. Reinforcement learning theory provides a formal framework, along with a family of learning methods. In this paper we use q-learning algorithm, perhaps the most popular among temporal difference methods. q-learning offers suppliers the ability to evaluate their actions and to retain the most profitable of them. A five bus power system is used for our case studies;our experiments are contacted with three supplier-agents in all cases but the last one where nine agents participate. The Locational Marginal Pricing (LMP) system serves as the market clearing mechanism.

关键词： electricity spot markets multi-agent modeling q-learning algorithm reinforcement learning supplier bidding strategy

来源：评论

学校读者我要写书评

暂无评论

Multi-path Transmission Strategy for Deterministic Networks 13th

Multi-path Transmission Strategy for Deterministic Networks

引用

13th International Conference on Computer Engineering and Networks (CENet)

作者： Zheng, Fei Li, Kelin Zhou, Zou Hu, Yu Chen, Longjie Guilin Univ Elect Technol Minist Educ Key Lab Cognit Radio & Informat Proc Guilin 541004 Peoples R China

ISBN: (纸本)9789819992492;9789819992478;9789819992461

With the rapid growth of internet traffic, network congestion becomes more and more severe, which causes massive packets loss. The reliability and delay of data transmission needs to be guaranteed in real-time applications such as financial transactions and cloud games. Traditional transmission strategies use packet retransmission to ensure data reliability, but the retransmission causes extra delay. The extra delay reduces the quality of service (qoS) for deterministic services. For the above problem, this paper proposes a deterministic network (DetNet)-oriented multipath transmission strategy in the software-defined network (SDN) architecture. The architecture introduces the packet replication and elimination function (PREF) of DetNet to achieve reliable transmission. The strategy establishes a path optimization model with transmission delay and packet loss rate, and then solve the model by the q-learning algorithm. The delay and packet loss rate of the link construct the reward function. The q-value table enables to obtain the best combination of paths, and it is gained by the reward function. Simulations show that our strategy have lower packet loss rate and delay jitter than the traditional single-path transmission strategy and the multi-path transmission strategy.

关键词： Software-defined networking (SDN) Deterministic network q-learning algorithm Packet loss rate Delay jitter

来源：评论

学校读者我要写书评

暂无评论

Car-Following Safe Headway Strategy with Battery-Health Conscious: A Reinforcement learning Approach

Car-Following Safe Headway Strategy with Battery-Health Cons...

引用

IEEE International Conference on Systems, Man, and Cybernetics (SMC)

作者： Jia, Xi Peng, Jun Liu, Yongjie Liu, Bo Wang, Pingping Lu, Yao Wen, Mengfei Huang, Zhiwu Cent South Univ Sch Automat Changsha Peoples R China Cent South Univ Sch Comp Sci & Engn Changsha Peoples R China Hunan Engn Lab Rail Vehicles Braking Technol Changsha Peoples R China Changsha Coll Presch Educ Changsha Peoples R China

ISBN: (纸本)9781728185262

This paper proposes an optimal car-following strategy for pure electric vehicles (EVs) with the aim of keeping an expected headway of the leader and reducing vehicle battery loss. In particular, a car-following system model is established. The primary task of the automatic vehicle is to follow the trajectory of the preceding car and maintain an expected headway. Then, the paper analyzes the powertrain of the electric vehicle. The loss of battery life over a period of time is proportional to the acceleration, so it takes the battery life into consideration. The q-learning algorithm is conducted for the optimal car-following strategy using system data instead of system dynamics information. It utilizes reward function and greedy strategy to select actions to train the following vehicle to achieve car-following safety. When there is no collision in these two cars, acceleration is considered into reward function to reduce battery loss. Finally, it is verified by simulation that the proposed car-following strategy can keep good tracking, maintain the expected headway from the preceding vehicle, and reduce battery loss.

关键词： Car-following system q-learning algorithm safe headway battery loss

来源：评论

学校读者我要写书评

暂无评论

Design of Reinforce learning Control algorithm and Verified in Inverted Pendulum 34

Design of Reinforce Learning Control Algorithm and Verified ...

引用

第三十四届中国控制会议

作者： WANG Linglin LIU Yongxin ZHAI Xiaoke College of electronic information engineering Inner Mongolia University

ISBN: (纸本)9781467374439

The reinforce leaning control algorithm is studied in this *** algorithms are designed using one-stage inverted pendulum as an *** is q-learning control algorithm,the other is also this algorithm but its parameters are optimized by BP neural *** are verified in one-stage inverted pendulum swing up *** results show that the algorithm with BP NN optimized is more effective and stable,and this algorithm can be used in real time control.

关键词： learning control q-learning algorithm BP network Inverted pendulum

来源：评论

学校读者我要写书评

暂无评论

Study on motion forms of a two-dimensional mobile robot by using reinforcement learning

Study on motion forms of a two-dimensional mobile robot by u...

引用

SICE-ICASE International Joint Conference

作者： Jung, Youngmi Inoue, Masashi Hara, Masayuki Huang, Jian Yabuta, Tetsuro Yokohama Natl Univ Dept Mech Engn Grad Sch Engn Yokohama Kanagawa 240 Japan

ISBN: (纸本)9788995003848

The main advantage of Reinforcement learning is that it provides unexpected solutions for a designer. This study shows how a mobile robot can obtain unexpected motion forms by using Reinforcement learning. Results show the the mobile robot with two-dimensional mobile ability can obtain unexpected motion forms for both advance motion and rotation motion. The mechanisms for these motions were investigated in order to understand how to obtain these motions. Moreover, since this system has a two-dimensional factor, this study examines the learning characteristic for the oblivion of the learning knowledge. In addition, this study examines the learning of the knowledge manipulation method to obtain new learning results with respect to the two-dimensional factor.

关键词： Reinforcement learning method q-learning algorithm mobile robot new learning motion forms

来源：评论

学校读者我要写书评

暂无评论

A GREEN INTELLIGENT UNICAST ROUTING algorithm

A GREEN INTELLIGENT UNICAST ROUTING ALGORITHM

引用

5th IEEE International Conference on Broadband Network & Multimedia Technology (IC-BNMT)

作者： Zhang, Jinhong Wang, Xingwei Huang, Min Northeastern Univ Coll Informat Sci & Engn Shenyang 110819 Peoples R China

ISBN: (纸本)9781479900930

For the past years, the energy overconsumption problems, arising from the rapid growth of Internet scale and services types, are becoming more and more serious. In this context, the Information and Communication Technology (ICT) sector has given an extensive concern to the research on green networking. From an energy-saving point of view for Internet, this paper designs a power consumption model and a qoS model for unicast. Furthermore, this paper proposes a unicast routing algorithm based on Chandy-Misra algorithm and q-learning algorithm for green Internet, which is compared with an ant colony algorithm based self-adaptive energy saving routing with respect to power consumption, the success rate of routing and running time. Results show the intelligent unicast routing algorithm proposed can effectively reduce network energy consumption, while guaranteeing the good performance.

关键词： Green Internet Unicast routing Energy saving Chandy-Misra algorithm q-learning algorithm

来源：评论

学校读者我要写书评

暂无评论

Hierarchical Multi-agent System in Traffic Network Signalization with Improved Genetic algorithm

Hierarchical Multi-agent System in Traffic Network Signaliza...

引用

IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)

作者： Tan, Min Keng Chuo, Helen Sin Ee Chin, Renee Ka Yin Yeo, Kiam Beng Teo, Kenneth Tze Kin Univ Malaysia Sabah Fac Engn Modelling Simulat & Comp Lab Kota Kinabalu Malaysia Univ Malaysia Sabah Fac Med & Hlth Sci Kota Kinabalu Malaysia

ISBN: (纸本)9781538678138

Instead of using classical offline data-driven optimization technique in traffic network signal control, this work aims to explore the potential of implementing an online data-driven optimization technique. A dynamic modeling technique is proposed using q-learning (qL) algorithm to online observe and learn the inflow-outflow traffic behaviors and extract the model parameters to update the evaluation model used in the fitness function of genetic algorithm (GA). The proposed GA with dynamic modeling is known as dyna-GA. Dyna-GA is then integrated into a hierarchical-based multi-agent traffic signal control system which consists of two layers. The lower-layer consists of several local agents that have autonomy in controlling their local intersection, whereas the upper-layer consists of one supervisory agent that has jurisdiction on all the local agents. The supervisory agent has the superiority in overwriting the local control decision if conflict occurred. The robustness of the proposed dyna-GA under several traffic scenarios is tested using a simulated arterial traffic network. The simulation results show the proposed dyna-GA has better performances in minimizing travel delay as compared to the classical GA which does not have the dynamic model.

关键词： traffic signal control multi-agent system dynamic modeling genetic algorithm q-learning algorithm

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共20页 << < 11 12 13 14 15 16 17 18 19 20 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：