Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks

Bibliographic Details
Main Authors: Silver, Tom, Chitnis, Rohan, Curtis, Aidan, Tenenbaum, Joshua, Lozano-Perez, Tomas, Kaelbling, Leslie Pack, Intelligence, Assoc Advancement Artificial
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: 2022
Online Access:https://hdl.handle.net/1721.1/143749
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author Silver, Tom
Chitnis, Rohan
Curtis, Aidan
Tenenbaum, Joshua
Lozano-Perez, Tomas
Kaelbling, Leslie Pack
Intelligence, Assoc Advancement Artificial
author2 Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
author_facet Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Silver, Tom
Chitnis, Rohan
Curtis, Aidan
Tenenbaum, Joshua
Lozano-Perez, Tomas
Kaelbling, Leslie Pack
Intelligence, Assoc Advancement Artificial
author_sort Silver, Tom
collection MIT
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institution Massachusetts Institute of Technology
language English
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spelling mit-1721.1/1437492023-04-14T15:21:31Z Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks Silver, Tom Chitnis, Rohan Curtis, Aidan Tenenbaum, Joshua Lozano-Perez, Tomas Kaelbling, Leslie Pack Intelligence, Assoc Advancement Artificial Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory 2022-07-15T11:52:24Z 2022-07-15T11:52:24Z 2021 2022-07-14T19:24:44Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/143749 Silver, Tom, Chitnis, Rohan, Curtis, Aidan, Tenenbaum, Joshua, Lozano-Perez, Tomas et al. 2021. "Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks." THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 35. en THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf arXiv
spellingShingle Silver, Tom
Chitnis, Rohan
Curtis, Aidan
Tenenbaum, Joshua
Lozano-Perez, Tomas
Kaelbling, Leslie Pack
Intelligence, Assoc Advancement Artificial
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
title Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
title_full Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
title_fullStr Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
title_full_unstemmed Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
title_short Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
title_sort planning with learned object importance in large problem instances using graph neural networks
url https://hdl.handle.net/1721.1/143749
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