Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
Name
2009.05613.pdf
Description
Accepted version
Size
2.41 MB
Format
Adobe PDF
Checksum (MD5)
b49f504bca354796504107ed1371d253
Author(s)
Silver, Tom
Chitnis, Rohan
Curtis, Aidan
Tenenbaum, Joshua
Lozano-Perez, Tomas
Kaelbling, Leslie Pack
Intelligence, Assoc Advancement Artificial
Date Issued
2021
Journal
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
Citation
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.
Version
Author's final manuscript
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
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Creative Commons Attribution-Noncommercial-Share Alike
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