Title :
How to learn an unknown environment
Author :
Deng, Xiaotie ; Kameda, Tiko ; Papadimitriou, Christos
Author_Institution :
Dept. of Comput. Sci., York Univ., North York, Ont., Canada
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
Keywords :
computational complexity; computational geometry; learning systems; NP-hard; bounded ratio; competitive algorithm; general obstacle courses; learning; offline problem; polygonal room; unknown environment; worst-case distance; Cities and towns; Computer science; Geometry; Pediatrics; Polynomials; Solid modeling;
Conference_Titel :
Foundations of Computer Science, 1991. Proceedings., 32nd Annual Symposium on
Conference_Location :
San Juan
Print_ISBN :
0-8186-2445-0
DOI :
10.1109/SFCS.1991.185382