Exemplar-based direct policy search with evolutionary optimization
Exemplar-based direct policy search with evolutionary optimization
复制标题
具有进化优化的基于范例的直接策略搜索
DOI：
10.1109/cec.2005.1554988
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
Kokolo Ikeda
中科院分区：
文献类型：
--
作者：
Kokolo Ikeda
本文提出了一种基于实例的直接策略搜索策略优化框架。在这种基于示例的方法中，要优化的策略由一组示例和一个基于示例的操作选择器组成。该方法使用基于状态-动作的策略表示和进化算法优化器实现，为两个高维问题提供了良好的搜索性能。
In this paper, an exemplar-based policy optimization framework for direct policy search is presented. In this exemplar-based approach, the policy to be optimized is composed of a set of exemplars and a case-based action selector. An implementation of this approach using a state-action-based policy representation and an evolutionary algorithm optimizer is shown to provide favorable search performance for two higher-dimensional problems.