How to learn an unknown environment

Xiaotie Deng, T. Kameda, C. Papadimitriou
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引用次数: 146

Abstract

The authors consider the problem faced by a newborn that must explore and learn an unknown room with obstacles in it. They seek algorithms that achieve a bounded ratio of the worst-case distance traversed in order to see all visible points of the environment (thus creating a map), divided by the optimum distance needed to verify the map. The situation is complicated by the fact that the latter offline problem (optimally verifying a map) is NP-hard and thus must be solved approximately. Although the authors show that there is no such competitive algorithm for general obstacle courses, they give a competitive algorithm for the case of a polygonal room with a bounded number of obstacles in it.<>
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如何学习未知的环境
作者考虑了一个新生儿必须探索和学习一个充满障碍的未知房间所面临的问题。他们寻找一种算法,这种算法可以在看到环境中所有可见点(从而创建地图)的最坏情况下所经过的距离与验证地图所需的最佳距离之间达到一个有界的比率。由于后一个离线问题(最优验证地图)是np困难的,因此必须近似地解决,因此情况变得复杂。尽管作者表明对于一般的障碍路线没有这样的竞争算法,但他们给出了一个具有有限数量障碍物的多边形房间的竞争算法。
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