Piecemeal Learning of an Unknown Environment

We introduce a new learning problem: learning a graph by piecemeal search, in which the learner must return every so often to its starting point (for refueling, say). We present two linear-time piecemeal-search algorithms for learning city-block graphs: grid graphs with rectangular obstacles.

Bibliographic Details
Main Authors: Betke, Margrit, Rivest, Ronald L., Singh, Mona
Language:en_US
Published: 2004
Online Access:http://hdl.handle.net/1721.1/6627
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author Betke, Margrit
Rivest, Ronald L.
Singh, Mona
author_facet Betke, Margrit
Rivest, Ronald L.
Singh, Mona
author_sort Betke, Margrit
collection MIT
description We introduce a new learning problem: learning a graph by piecemeal search, in which the learner must return every so often to its starting point (for refueling, say). We present two linear-time piecemeal-search algorithms for learning city-block graphs: grid graphs with rectangular obstacles.
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spelling mit-1721.1/66272019-04-12T08:31:41Z Piecemeal Learning of an Unknown Environment Betke, Margrit Rivest, Ronald L. Singh, Mona We introduce a new learning problem: learning a graph by piecemeal search, in which the learner must return every so often to its starting point (for refueling, say). We present two linear-time piecemeal-search algorithms for learning city-block graphs: grid graphs with rectangular obstacles. 2004-10-08T20:35:47Z 2004-10-08T20:35:47Z 1994-03-01 AIM-1474 http://hdl.handle.net/1721.1/6627 en_US AIM-1474 195855 bytes 691585 bytes application/octet-stream application/pdf application/octet-stream application/pdf
spellingShingle Betke, Margrit
Rivest, Ronald L.
Singh, Mona
Piecemeal Learning of an Unknown Environment
title Piecemeal Learning of an Unknown Environment
title_full Piecemeal Learning of an Unknown Environment
title_fullStr Piecemeal Learning of an Unknown Environment
title_full_unstemmed Piecemeal Learning of an Unknown Environment
title_short Piecemeal Learning of an Unknown Environment
title_sort piecemeal learning of an unknown environment
url http://hdl.handle.net/1721.1/6627
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