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基于E-贪婪机制的多智能体Q学习动态分析

Dynamic Analysis of Multiagent Q-learning with e-greedy Exploration
课程网址: http://videolectures.net/icml09_gomes_damq/  
主讲教师: Eduardo Rodrigues Gomes
开课单位: 斯威本科技大学
开课时间: 2009-08-26
课程语种: 英语
中文简介:
随着该领域迅速在各种领域中应用,开发用于理解和模拟多代理学习者的预期行为的机制变得越来越重要。在本文中,我们提出了一个框架,使用贪婪的探索机制模拟Q学习代理的行为。为此,我们分析Q学习更新规则的连续时间版本,并研究其他代理的存在和贪婪机制如何影响它。然后,我们将问题建模为差分方程组,用于理论上分析代理的预期行为。通过在从文献中选择的典型游戏中的实验来测试框架的适用性。
课程简介: The development of mechanisms to understand and model the expected behaviour of multiagent learners is becoming increasingly important as the area rapidly find application in a variety of domains. In this paper we present a framework to model the behaviour of Q-learning agents using the e-greedy exploration mechanism. For this, we analyse a continuous-time version of the Q-learning update rule and study how the presence of other agents and the e-greedy mechanism affect it. We then model the problem as a system of difference equations which is used to theoretically analyse the expected behaviour of the agents. The applicability of the framework is tested through experiments in typical games selected from the literature.
关 键 词: 多代理学习者; 探索机制; 差分方程组
课程来源: 视频讲座网
最后编审: 2019-04-23:lxf
阅读次数: 95