Learning Planning Operators in Real-World, Partially Observable Environments

机译：在部分可观察的实际环境中学习规划操作员

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We are interested in the development of activities in situated, embodied agents such as mobile robots. Central to our theory of development is means-ends analysis planning, and as such, we must rely on operator models that can express the effects of a robot's action in a dynamic, partially-observable environment. This paper presents a two-step process which employs clustering and decision tree induction to perform unsuper-vised learning of operator models from simple interactions between an agent and its environment. We report our findings with an implementation of this system on a Pioneer-1 mobile robot.

机译：我们对诸如移动机器人之类的定位，具体化代理中的活动的开发感兴趣。我们的发展理论的核心是均值-终点分析计划，因此，我们必须依靠能够表达机器人在动态，可部分观察的环境中的动作效果的操作员模型。本文提出了一个分为两步的过程，该过程采用聚类和决策树归纳法，通过代理与其环境之间的简单交互来执行操作员模型的无监督学习。我们通过在Pioneer-1移动机器人上实施此系统来报告我们的发现。

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《International Conference on Artificial Intelligence Planning and Scheduling; 2000414-17; Breckenridge,CO(US)》|2000年|P.246-253|共8页
会议地点 BreckenridgeCO(US)
作者
Matthew D. Schmill; Tim Oates; Paul R. Cohen;
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作者单位

Computer Science Department, LGRC University of Massachusetts, Box 34610 Amherst, MA 01003-4610;

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原文格式 PDF
正文语种 eng
中图分类人工智能理论;
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机译：基于学习的强化推论的部分可观察环境估算
2. Adding memory condition to learning classifier systems to solve partially observable environments [J] . Zhao Xiang Zang, De Hua Li, Jun Ying Wang International Journal of Computer Applications in Technology . 2013,第4期

机译：为学习分类器系统添加记忆条件以解决部分可观察的环境
3. Apprenticeship Learning for Model Parameters of Partially Observable Environments [J] . Takaki MAKING, Johane TAKEUCHI 電子情報通信学会技術研究報告 . 2012,第480期

机译：部分可观察环境的模型参数的学徒学习
4. Learning planning operators in real-world, partially observable environments [C] . Matthew D. Schmill, Tim Oates, Paul R. Cohen International Conference on Artificial Intelligence Planning and Scheduling . 2000

机译：学习现实世界，部分可观察环境中的规划运营商
5. Automated planning in very large, uncertain, partially observable environments. [D] . Vaccaro, James M. 2010

机译：在非常大的，不确定的，部分可观察的环境中进行自动规划。
6. Detecting Changes and Avoiding Catastrophic Forgetting in Dynamic Partially Observable Environments [O] . Jeffery Dick, Pawel Ladosz, Eseoghene Ben-Iwhiwhu, 2020

机译：检测变化避免动态部分可观察环境中的灾难性遗忘
7. HTN Robot Planning in Partially Observable Dynamic Environments* [O] . Martin Weser, Dominik Off, Jianwei Zhang 2012

机译：在部分可观察的动态环境中的HTN机器人规划*

Learning Planning Operators in Real-World, Partially Observable Environments

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