How to learn an unknown environment

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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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APA

Deng, X., Kameda, T., & Papadimitriou, C. (1991). How to learn an unknown environment. In Annual Symposium on Foundations of Computer Science (Proceedings) (pp. 298–303). Publ by IEEE. https://doi.org/10.1145/274787.274788

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