TL;DR本篇论文介绍和综合了基于马尔可夫决策过程相关的方法,显示它们为建立 AI 中研究的许多类计划问题提供了一个统一的框架,并概述了用于易于构建策略或计划的计算工具的几种类型的表示和算法。
Abstract
planning under uncertainty is a central problem in the study of automated
sequential decision making, and has been addressed by researchers in many
different fields, including AI planning, decision analysis, oper