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Mor Vered, Ramon Fraga Pereira, Maur\'icio Cec\'ilio Magnaguagno,
Felipe Meneguzzi, and Gal A. Kaminka. Online Goal Recognition Combining
Landmarks and Planning. In IJCAI Workshop on Goal Reasoning, 2017.
(unavailable)
Goal recognition is the problem of recognizing the goal of an agent based on an incomplete sequence of observations. Recognizing goals with minimal domain knowledge as an agent executes its plan requires efficient algorithms to sift through a large space of hypotheses. In this paper, we develop an online approach to recognize goals in both continuous and discrete domains using a combination of goal mirroring and a generalized notion of landmarks adapted from the planning literature. Extensive experiments demonstrate the approach is more efficient than state-of-the-art online recognition, and substantially more accurate.
@inproceedings{goalreason17ws-felipe,
author = {Mor Vered and Ramon Fraga Pereira and Maur\'{i}cio Cec\'{i}lio Magnaguagno and Felipe Meneguzzi and Gal A. Kaminka},
title = {Online Goal Recognition Combining Landmarks and Planning},
booktitle = {{IJCAI} Workshop on Goal Reasoning},
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year = {2017},
OPTeditor = {editor},
OPTvolume = {volume},
OPTnumber = {number},
OPTseries = {series},
OPTaddress = {address},
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OPTnote = {},
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wwwnote = {},
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abstract = {
Goal recognition is the problem of recognizing the
goal of an agent based on an incomplete sequence
of observations. Recognizing goals with minimal
domain knowledge as an agent executes its plan requires
efficient algorithms to sift through a large
space of hypotheses. In this paper, we develop an
online approach to recognize goals in both continuous
and discrete domains using a combination of
goal mirroring and a generalized notion of landmarks
adapted from the planning literature. Extensive
experiments demonstrate the approach is more efficient
than state-of-the-art online recognition, and
substantially more accurate.
},
}
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