q learning的例句大全

Q learning is of great importance in reinforcement learning.

Q学习是一种重要的强化学习算法。

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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；

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The pre-posture adjusts the robot pose with the method of FSM. The climbing adopts the fuzzy Q learning to maintain the stability of the process.

姿态预调整利用有限状态机来实现：推进过程通过模糊Q学习保持推进过程的平稳性。

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A multi step Q learning algorithm was employed to overcome the slow convergence rate of standard Q learning, and CMAC neural network was used to generalize the continuous state space.

为解决连续过程的学习问题，采用CMAC神经网络对连续状态空间进行泛化。

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For the learning problem of agent team cooperation, the basic Q learning algorithm is extended by introducing the concept of leading agent and setting the reward assignment policy among several learning agents.

最后，针对Agent团队协作的学习问题，对单Agent的Q学习算法进行了扩展。主要思想是引入主导Agent的概念，并考虑将环境奖赏按照一定策略分配给多个Agent，实现同时学习。

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To the research of non-cooperative multi-agent system, it has obvious advantages to game equilibrium strategy, so this paper researches cooperation climate strategy which used Q learning algorithm based Nash and Meta equilibrium.

而研究非合作多Agent系统，博弈均衡策略有着其明显优势，所以本文利用基于Nash平衡和Meta平衡的Q学习算法分别对气候合作策略进行了研究。

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To solve the problem of slow update speed in Q learning, a multi-step Q learning scheduling algorithm is proposed, in which the value function is updated based on the information in multiple steps.

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。

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States are clustered in order to reduce the state space, Q learning algorithm is used to get the table of Q values, then the available action is selected according to the Q value table.

用状态聚类减小状态空间，利用Q学习算法获得Q值表，根据学习后的Q值表选择动作。

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In order to serve users with more accurate information, the Agent collaborative filtering model& ACFM based on users 'feedback and the dynamic Q learning algorithm are put forward, and users' interesting model is built.

为了提供给用户更准确的信息，提出基于用户反馈的智能合作过滤模型和一种基于用户兴趣的动态Q学习算法，并建立用户兴趣模型。

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Q learning algorithm is the most popular reinforcement learning algorithm, but the algorithm exist some problems.

目前主流的强化学习算法是Q学习算法，但Q学习本身存在一些问题。

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The Q Learning System Based on The Priori Knowledge And The Application to The Robot Soccer

基于模糊先验知识的Q学习及在足球机器人系统中的应用

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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。

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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

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Finally, the learning speed of Q learning algorithm is very slow.

最后，Q学习算法的学习速度较慢。

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An Autonomous Agent Model Based on Q Learning

基于Q学习的自主Agent模型

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A New Q Learning Algorithm for Multi-agent Systems

一种新的多智能体Q学习算法

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Multi-Step Q Learning Algorithm for Task Scheduling in Collaborative Design

协同设计任务调度的多步Q学习算法

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Study of Behavior Learning for Soccer Robot Based on Q Learning and CBL

基于Q学习与CBL结合的机器人足球行为学习研究

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Car used to enhance learning ( Q learning), using neural network Q function approximation.

小车采用加强学习（Q learning），采用神经网络对Q函数逼近。

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This sample graph is from a simple reinforcement learning application that uses Q learning.

这个示例图是从使用Q学习的一个简单增强式学习应用程序中得到的。

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