1)Q-learningQ-学习
1.A Traffic Signal Control Method Based on Q-Learning;基于Q-学习的交通信号控制方法
2.Non-linear Control Based on Q-learning Algorithms;基于Q-学习的非线性控制
3.Research on regional cooperative multi-agent Q-learning;局部合作多智能体Q-学习研究
英文短句/例句
1.Multi-Agent Q-learning in RoboCup Based on Regional Cooperative基于局部合作的RoboCup多智能体Q-学习
2.Improved Q-learning-based Algorithm Research on Navigation Knowledge Acquisition;基于改进Q-学习的导航知识获取算法研究
3.The Study and Improvement of Q-Learning Algorithm Based on Agent System;基于智能体系统的Q-学习算法的研究与改进
4.Multi-agent Q-learning based on mission scenarios division基于场景任务划分的多智能体Q-学习研究
5.Clustering state membership-based Q-learning for dynamic scheduling基于聚类状态隶属度的动态调度Q-学习
6.Dynamic scheduling with fuzzy clustering based Q-learning基于模糊聚类的Q-学习在动态调度中的应用
7.Study on the Method of the Collaboration of Traffic Control and Flow Guidance Based on Multi-Agent and Q-Learning;基于多智能体和Q-学习的交通控制与诱导协同方法研究
8.Q-Learning Based Complex Program Dynamic Analysis Technology;基于Q学习的复杂程序动态分析技术
9.Improvement and Applications for Q-learning Reinforcement Learning AlgorithmsQ-learning强化学习算法改进及其应用研究
10.Study for some problems of multi-agent Q-learning and improving多Agent Q学习几点问题的研究及改进
11.Parallel Q-learning Algorithms for MDPs Based on Performance Potentials一种MDP基于性能势的并行Q学习算法
12.Strategic Bidding of Electricity Supplier in Competitive Market Based on Improved Q-Learning;基于改进Q学习算法的发电商竞价策略
13.The Research and Implementation of Agent Intelligent Decision Based on Fuzzy Q Learning;基于模糊Q学习的Agent智能决策研究与实现
14.The Research and Implementation of Agent Intelligent Decision Based on Q Learning;基于Q学习的Agent智能决策的研究与实现
15.Research on Image Segmentation Based on Parzen Window and Q-learning基于Parzen窗和Q学习的图像分割算法研究
16.Q-learning Based Dynamic Optimal CPS Control Methodology for Interconnected Power Systems基于Q学习的互联电网动态最优CPS控制
17.Q-learning traffic signal control based on the minimization of average delay基于车均延误最小的Q学习交通信号控制方法
18.Bi-level Q-learning algorithm for dynamic multi-machine scheduling problems面向多机动态调度问题的两层Q学习算法
相关短句/例句
Q-learningQ学习
1.Power supplier bieding strategies based on Q-learning algorithm;基于Q学习算法的发电商报价策略模型
2.Research on application of multi-agent Q-learning algorithm in multiAUV coordination;多智能体Q学习在多AUV协调中的应用研究
3.Application of Agent-based Q-learning in the Traffic Flow Control of Single Intersection;基于Q学习的Agent在单路口交通控制中的应用
3)B-Q learningB-Q学习
1.Aiming to the problem of dynamic scheduling in knowledgeable manufacturing system,the B-Q learning algorithm is proposed by combining the high intelligent characteristic of knowledgeable manufacturing cell,and a kind of adaptive scheduling control strategy is presented based on this algorithm.针对知识化制造系统中的动态调度问题,结合知识化制造单元的高智能特征,提出了B-Q学习算法,并基于该算法构建了一种自适应调度控制策略。
4)Q learningQ学习
1.Application of improved Q learning algorithm to job shop problem;改进的Q学习算法在作业车间调度中的应用
2.The paper first presents an objective model of task scheduling,and then based on the analysis of Q learning algorithm,the Markov decision process description of the scheduling problem is given.首先建立任务调度问题的目标模型,在分析Q学习算法的基础上,给出调度问题的马尔可夫决策过程描述;针对任务调度的Q学习算法更新速度慢的问题,提出一种基于多步信息更新值函数的多步Q学习调度算法。
3.In this paper, a mechanism of behavior learning for soccer robot action selection based on Q learning and case based learning is proposed.提出了一种足球机器人基于Q学习与案例学习(CBL)相结合的自主学习机制。
5)Q(λ) learningQ(λ)学习
6)Q-learningQ 学习
1.For the agents’ collaboration and actions selection in the Robocup simulation team,a method,fuzzy cerebellar model articulation controller(FCMAC)Q-learning,is proposed,which combines FCMAC and the traditional Q-learning.针对 Robocup 仿真组比赛中智能体的配合与动作选取,将模糊小脑神经网络(FCMAC)与传统的 Q 学习相结合,提出了模糊 CMAC Q 学习的方法。
2.Q-Learning is a reinforcement learning method.Q 学习一种强化学习方法,本文提出的基于 Q 学习的存量控制方法可以从另一个角度部分解决了动态存量控制问题。
延伸阅读
《改造我们的学习》《改造我们的学习》1941年5月毛泽东在延安干部会议上所作的报告。原载于1942年3月27日延安《解放日报》，后收入《毛泽东选集》第三卷和《毛泽东著作选读》下卷。全文共分四个部分，从思想上总结了党史上的经验教训，着重论述了反对主观主义以整顿学风的问题。指出对待马列主义，存在着两种根本对立的态度。一种是理论和实际统一的态度，即从中国革命的实际出发，实事求是。这种态度是党性的表现，是中国革命胜利的根本保证。另一种是主观主义的态度，这是反科学、反马列主义的学风。在这种态度下，就是对周围环境不作系统的周密的研究，单凭主观热情去工作。它是党内产生“左”右倾机会主义错误的思想根源，曾给中国革命带来严重损失。文章强调只有打倒主观主义，马列主义的真理才会抬头，党性才会巩固，革命才会胜利。文章向党指出系统地周密地研究周围环境的任务；特别强调在全党推行调查研究的计划，是转变党的作风的基础的一环。这篇著作是毛泽东关于整风运动的基本著作，是整风运动的必读文件之一。《改造我们的学习》封面
