1)multi-agent learning多agent学习
1.Rationality and convergence are two topics in the research on multi-agent learning.理性和收敛是多agent学习研究所追求的目标,在理性合作的多agent系统中提出利用Pareto占优解代替非合作的Nash平衡解进行学习,使agent更具理性,另一方面引入社会公约来启动和约束agent的推理,统一系统中所有agent的决策,从而保证学习的收敛性。
英文短句/例句
1.The study of multi-agent learning algorithm based on variable learning rate基于变学习率的多agent学习算法的研究
2.Comparative Analysis of Single-Agent Reinforcement Learning and Multi-Agent Reinforcement Learning单agent强化学习与多agent强化学习比较研究
3.Learning in Cooperative Multi-agent Team;多agent协作团队的学习方法研究
4.The Study of Multi-Agent Reinforcement Learning Methods for Cooperative Team;多Agent协作团队的强化学习方法研究
5.The Study of Multi-Agent Cooperative Reinforcement Learning Methods;多Agent协同的强化学习方法研究
6.Research on service of learning resources system based on Muti-Agent;基于多Agent的学习资源服务系统研究
7.Research of Intelligentized Learning Process Based on Multi-Agent on Internet;Internet上基于多Agent的智能学习过程研究
8.Study on Organizational Learning of Enterprise Based on Multi-Agent Systems基于多Agent系统的企业组织学习研究
9.Research on Simulation of Team Learning Based on Multi-Agent Interactions基于多Agent交互的团队学习仿真研究
10.Research of Multi-Agent Negotiation Mechanism Based on Bayesian Learning基于Bayesian学习的多Agent谈判机制研究
11.Research of Network Studying Platform Based on Multi-agent Technology基于多Agent技术的网络学习平台的研究
12.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
13.Intelligent e-learning recommendation model based on multi-agent基于多Agent的网络学习智能推荐模型
14.Study on Machine Learning and Its Applications in Multi-Agent Game Learning;机器学习及其在多Agent对策学习中的应用研究
15.The Study and Application of Agent s Individual Learning and Multi-Agent Collaboration;Agent个体学习与多Agent协作的研究及其在RoboCup中的应用
16.Study of Applications of Machine Learning on Decision and Controlling in Multi-Agent Systems;机器学习在多Agent系统控制决策中的应用研究
17.The Research and Construction of Network Adaptive Learning System Based on Multi-Agent;基于多Agent的网络适应性学习系统的研究与构建
18.Research on Multi-Agent Collaborative Learning System Based on J2EE;基于J2EE的多Agent协作学习平台的应用研究
相关短句/例句
Multi-agent Reinforcement Learning多agent强化学习
3)multiagent reinforcement learning多Agent增强学习
1.To achieve coherence and stability in operations of Wireless sensor networks (WSNs) in pervasive computing environment, a self-organization method is proposed based on multiagent reinforcement learning.为实现在普适计算环境下无线传感器网络运行的协调统一和稳定,提出一种基于多Agent增强学习的自组织方法。
4)Agent learningAgent学习
5)learning agent学习Agent
1.Each Agent has been assigned different function in the MAS,and learning agent can learn well by user s interest, and filter agent can filtrate useless information for users.本文介绍了一种基于MAS(Multi-Agent System)的自适应智能搜索引擎系统,MAS为每个Agent指派了不同的功能,其中学习Agent能够很好地对用户的兴趣进行自适应学习,过滤Agent对反馈给用户的信息进行了过滤,既保证了查全率,又提高了检索结果的查准率。
2.The Multi Agent system is mainly divided into three parts:interface Agent,search Agent and learning Agent.这个多Agent系统主要由界面Agent、搜索Agent和学习Agent三个子Agent组成。
6)Cooperative Reinforcement Learning Method多Agent协作强化学习
延伸阅读
部分学习与整体学习部分学习与整体学习part learning and whole learning 部分学习与整体学习(part learningand whole learning)在运动学习和记忆学习中，根据对学习内容的处理方式可以分成部分学习和整体学习。部分学习就是将材料分成几个部分，每次学习一个部分:整体学习就是每次学习整个材料。一般来讲，整体学习的效果优于部分学习。但是，课题复杂彼此没有意义联系的材料，用部分学习的效果好:课题简短或具有意义联系的材料，用整体学习的效果好。在进行学习时，可以将部分学习与整体学习结合起来，先进行整体学习再进行部分学习，或者相反。这种相互结合的学习方式叫做综合学习，效果更好些。 (周国帕撰成立夫审)
