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| 部分可观察强规划中约减观察变量的研究 |
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周俊萍1, 殷明浩1,2,3, 谷文祥1, 孙吉贵2,3
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1.东北师范大学 计算机学院,吉林 长春 130117;2.吉林大学 计算机科学与技术学院,吉林 长春 130012;3.吉林大学 教育部符号计算与知识工程重点实验室,吉林 长春 130012
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| 摘要: |
| 给出了一种约减观察变量方法——假设所有的状态变量都不是观察变量,在此基础上逐步增加必要的观察变量,从而最终得到一个必要的观察变量集合.在添加必要的观察变量过程中,该方法不要求得到所有变量的相关信息,从而具有更好的通用性.根据是否存在单个观察变量能够区分域中任意两个状态的问题,分别给出了两种约减观察变量方法:当存在一个观察变量可以区分规划域中任意两个状态时,算法可以得到一个最小的观察变量集合;当不存在这样一个观察变量时,算法可以得到一个尽可能小的观察变量集合,但不能保证该集合最小. |
| 关键词: 强规划 部分可观察规划 部分可观察强规划 约减观察变量 不确定规划 |
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| 基金项目:Supported by the National Natural Science Foundation of China under Grant Nos.60496321, 60473042, 60573067, 60803102 (国家自然科学基金); the Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No.20050183065 (高等学校博士学科点专项科研基金); the Science Foundation for Young Teachers of Northeast Normal University of China under Grant No.20070601 (东北师范大学青年基金) |
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| Research on Decreasing Observation Variables for Strong Planning under Partial Observation |
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ZHOU Jun-Ping,YIN Ming-Hao,GU Wen-Xiang,SUN Ji-Gui
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| Abstract: |
| How to decrease the observation variables for strong planning under partial observation is explored. Beginning from a domain under no observation, add necessary observation variables gradually to get a minimal set of observation variables necessary. Two methods are presented to decrease observation variables. With the former, when any of the two distinct states of the domain can be distinguished by an observation variable, this algorithm can find a minimal set of observation variables necessary for the execution of a plan. With the latter, when there are states that can’t be distinguished by only one observation variable, this algorithm can find a set of observation variables as small as possible which are necessary for the execution of a plan. |
| Key words: strong planning planning under partial observation strong planning under partial observation decrease observation variables nondeterministic planning |
