Point-based value iteration: an anytime algorithm for POMDPs

569 indexed citations

Abstract

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This paper, published in 2003, received 569 indexed citations. Written by Joëlle Pineau, Geoff Gordon and Sebastian Thrun covering the research area of Artificial Intelligence and Computational Theory and Mathematics. It is primarily cited by scholars working on Artificial Intelligence (390 citations), Computer Vision and Pattern Recognition (141 citations) and Computer Networks and Communications (124 citations). Published in International Joint Conference on Artificial Intelligence.

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Countries where authors are citing Point-based value iteration: an anytime algorithm for POMDPs

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This map shows the geographic impact of Point-based value iteration: an anytime algorithm for POMDPs. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Point-based value iteration: an anytime algorithm for POMDPs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Point-based value iteration: an anytime algorithm for POMDPs more than expected).

Fields of papers citing Point-based value iteration: an anytime algorithm for POMDPs

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Point-based value iteration: an anytime algorithm for POMDPs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Point-based value iteration: an anytime algorithm for POMDPs.

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This paper is also available at doi.org/w5878470.

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